discriminant analysis

Summary

Summary: A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values. It is sometimes used instead of regression analysis.

Top Publications

  1. pmc Discriminant analysis of principal components: a new method for the analysis of genetically structured populations
    Thibaut Jombart
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College Faculty of Medicine, St Mary s Campus, Norfolk Place, London W21PG, UK
    BMC Genet 11:94. 2010
  2. pmc Differentiating prenatal exposure to methamphetamine and alcohol versus alcohol and not methamphetamine using tensor-based brain morphometry and discriminant analysis
    Elizabeth R Sowell
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 30:3876-85. 2010
  3. pmc Diagnosis of multiple cancer types by shrunken centroids of gene expression
    Robert Tibshirani
    Department of Health, Research and Policy, and Statistics, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 99:6567-72. 2002
  4. doi Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns
    Dimitris K Iakovidis
    Department of Informatics and Computer Technology, Technological Educational Institute of Lamia, Lamia, Greece
    Artif Intell Med 50:33-41. 2010
  5. ncbi KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
    Jian Yang
    Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, PR China
    IEEE Trans Pattern Anal Mach Intell 27:230-44. 2005
  6. doi Metabolic dynamics during autumn cold acclimation within and among populations of Sitka spruce (Picea sitchensis)
    Rebecca Dauwe
    Department of Wood Science, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
    New Phytol 194:192-205. 2012
  7. pmc Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems
    Kim Anh Lê Cao
    Queensland Facility for Advanced Bioinformatics, University of Queensland, 4072 St Lucia, QLD, Australia
    BMC Bioinformatics 12:253. 2011
  8. pmc Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data
    Francesco C Stingo
    Department of Statistics, Rice University, Houston, TX 77005, USA
    Bioinformatics 27:495-501. 2011
  9. pmc Classification of individual lung cancer cell lines based on DNA methylation markers: use of linear discriminant analysis and artificial neural networks
    Alberto M Marchevsky
    Department of Pathology and Laboratory Medicine, Cedars Sinai Medical Center, Los Angeles, California, USA
    J Mol Diagn 6:28-36. 2004
  10. pmc Characterization of metabolic differences between benign and malignant tumors: high-spectral-resolution diffuse optical spectroscopy
    Shwayta Kukreti
    Beckman Laser Institute, University of California, Irvine, CA 92612, USA
    Radiology 254:277-84. 2010

Detail Information

Publications281 found, 100 shown here

  1. pmc Discriminant analysis of principal components: a new method for the analysis of genetically structured populations
    Thibaut Jombart
    MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College Faculty of Medicine, St Mary s Campus, Norfolk Place, London W21PG, UK
    BMC Genet 11:94. 2010
    ..Unfortunately, currently available multivariate methods still lack some essential features needed to study the genetic structure of natural populations...
  2. pmc Differentiating prenatal exposure to methamphetamine and alcohol versus alcohol and not methamphetamine using tensor-based brain morphometry and discriminant analysis
    Elizabeth R Sowell
    Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, Los Angeles, California 90095, USA
    J Neurosci 30:3876-85. 2010
    ....
  3. pmc Diagnosis of multiple cancer types by shrunken centroids of gene expression
    Robert Tibshirani
    Department of Health, Research and Policy, and Statistics, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 99:6567-72. 2002
    ..The technique is general and can be used in many other classification problems. To demonstrate its effectiveness, we show that the method was highly efficient in finding genes for classifying small round blue cell tumors and leukemias...
  4. doi Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns
    Dimitris K Iakovidis
    Department of Informatics and Computer Technology, Technological Educational Institute of Lamia, Lamia, Greece
    Artif Intell Med 50:33-41. 2010
    ..This representation is suitable for the discrimination of nodules of high malignancy risk from normal thyroid parenchyma...
  5. ncbi KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
    Jian Yang
    Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, PR China
    IEEE Trans Pattern Anal Mach Intell 27:230-44. 2005
    This paper examines the theory of kernel Fisher discriminant analysis (KFD) in a Hilbert space and develops a two-phase KFD framework, i.e., kernel principal component analysis (KPCA) plus Fisher linear discriminant analysis (LDA)...
  6. doi Metabolic dynamics during autumn cold acclimation within and among populations of Sitka spruce (Picea sitchensis)
    Rebecca Dauwe
    Department of Wood Science, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
    New Phytol 194:192-205. 2012
    ....
  7. pmc Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems
    Kim Anh Lê Cao
    Queensland Facility for Advanced Bioinformatics, University of Queensland, 4072 St Lucia, QLD, Australia
    BMC Bioinformatics 12:253. 2011
    ..In the case of multiple highly correlated variables, another option is to use multivariate exploratory approaches to give more insight into cell biology, biological pathways or complex traits...
  8. pmc Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data
    Francesco C Stingo
    Department of Statistics, Rice University, Houston, TX 77005, USA
    Bioinformatics 27:495-501. 2011
    b>Discriminant analysis is an effective tool for the classification of experimental units into groups...
  9. pmc Classification of individual lung cancer cell lines based on DNA methylation markers: use of linear discriminant analysis and artificial neural networks
    Alberto M Marchevsky
    Department of Pathology and Laboratory Medicine, Cedars Sinai Medical Center, Los Angeles, California, USA
    J Mol Diagn 6:28-36. 2004
    ..The data were analyzed with artificial neural networks (ANN) and linear discriminant analysis (LDA) to classify the cell lines into SCLC or into NSCLC...
  10. pmc Characterization of metabolic differences between benign and malignant tumors: high-spectral-resolution diffuse optical spectroscopy
    Shwayta Kukreti
    Beckman Laser Institute, University of California, Irvine, CA 92612, USA
    Radiology 254:277-84. 2010
    ..To develop a near-infrared spectroscopic method to identify breast cancer biomarkers and to retrospectively determine if benign and malignant breast lesions could be distinguished by using this method...
  11. ncbi Regularized linear discriminant analysis and its application in microarrays
    Yaqian Guo
    Department of Statistics, Stanford University, Stanford, CA 94305, USA
    Biostatistics 8:86-100. 2007
    In this paper, we introduce a modified version of linear discriminant analysis, called the "shrunken centroids regularized discriminant analysis" (SCRDA)...
  12. ncbi Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces
    C Vidaurre
    Department of Electrical and Electronic Engineering, Public University of Navarre, Campus Arrosadia s n, 31006 Pamplona, Spain
    IEEE Trans Biomed Eng 54:550-6. 2007
    ..Two continuously adaptive classifiers were tested: adaptive quadratic and linear discriminant analysis. Three feature types were analyzed, adaptive autoregressive parameters, logarithmic band power estimates ..
  13. ncbi Identification of new antimalarial drugs by linear discriminant analysis and topological virtual screening
    Nassira Mahmoudi
    INSERM U511, Immuno Biologie Cellulaire et Moleculaire des Infections Parasitaires, CHU Pitie Salpetriere, Assistance Publique Hopitaux de Paris, Universite Pierre et Marie Curie, Paris, France
    J Antimicrob Chemother 57:489-97. 2006
    ....
  14. pmc Selection bias in gene extraction on the basis of microarray gene-expression data
    Christophe Ambroise
    Laboratoire Heudiasyc, Unité Mixte de Recherche Centre National de la Recherche Scientifique 6599, 60200 Compiegne, France
    Proc Natl Acad Sci U S A 99:6562-6. 2002
    ..Using two published data sets, we demonstrate that when correction is made for the selection bias, the cross-validated error is no longer zero for a subset of only a few genes...
  15. doi Mass spectrometric and linear discriminant analysis of N-glycans of human serum alpha-1-acid glycoprotein in cancer patients and healthy individuals
    Timea Imre
    Institute of Structural Chemistry, Chemical Research Center, Hungarian Academy of Sciences, Budapest, Pusztaszeri u 59 67, Hungary
    J Proteomics 71:186-97. 2008
    ..ovarian tumor) were analyzed by MALDI-TOF mass spectrometry and a multivariate statistical method (linear discriminant analysis, LDA). 34 different glycan structures have been identified...
  16. ncbi Fourier transform infrared (FT-IR) spectroscopy in bacteriology: towards a reference method for bacteria discrimination
    Ornella Preisner
    Centre for Biological and Chemical Engineering, IST, Technical University of Lisbon, Av Rovisco Pais, 1049 001 Lisbon, Portugal
    Anal Bioanal Chem 387:1739-48. 2007
    ..The uncertainty in estimating scores was reduced by about 50% when compared to models with all wavelengths. Spectral ranges with relevant chemical information for Enterococcus faecium bacteria discrimination were outlined...
  17. doi Equivalence of improvement in area under ROC curve and linear discriminant analysis coefficient under assumption of normality
    Olga V Demler
    Department of Biostatistics, Boston University, 801 Massachusetts Avenue, Boston, MA 02118, USA
    Stat Med 30:1410-8. 2011
    ..This paper demonstrates that under the assumption of multivariate normality and employing linear discriminant analysis (LDA) to construct the risk prediction tool, statistical significance of the new predictor(s) is ..
  18. doi Tensor discriminant color space for face recognition
    Su Jing Wang
    College of Computer Science and Technology, Jilin University, Changchun 130012, China
    IEEE Trans Image Process 20:2490-501. 2011
    ....
  19. doi Discriminant analysis of functional connectivity patterns on Grassmann manifold
    Yong Fan
    LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    Neuroimage 56:2058-67. 2011
    ..each network encoded by a spatial independent component separately, we propose a novel algorithm for discriminant analysis of functional brain networks jointly at an individual level...
  20. doi Orthogonal projections to latent structures discriminant analysis modeling on in situ FT-IR spectral imaging of liver tissue for identifying sources of variability
    Hans Stenlund
    Computational Life Science Cluster CLIC, KBC, Umea University, SE 901 87 Umea, Sweden
    Anal Chem 80:6898-906. 2008
    In this study, the orthogonal projections to latent structures discriminant analysis (OPLS-DA) method was used to assess the in situ chemical composition of two different cell types in mouse liver samples, hepatocytes and erythrocytes...
  21. pmc An HR-MAS MR metabolomics study on breast tissues obtained with core needle biopsy
    Mulan Li
    Department of Radiology, College of Medicine, Seoul National University, Jongno gu, Seoul, Korea
    PLoS ONE 6:e25563. 2011
    ..Previous HR-MAS MR results have been obtained from post-surgery samples, which limits their direct clinical applicability...
  22. ncbi Color image discriminant models and algorithms for face recognition
    Jian Yang
    Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA
    IEEE Trans Neural Netw 19:2088-98. 2008
    ..26% at the false accept rate (FAR) of 0.1%...
  23. ncbi Correspondence discriminant analysis: a multivariate method for comparing classes of protein and nucleic acid sequences
    G Perrière
    Laboratoire de Biometrie, Génétique et Biologie des Populations, UMR CNRS n 5558, Universite Claude Bernard, Lyon, Villeurbanne, France
    Comput Appl Biosci 12:519-24. 1996
    ..of a multivariate method for studying classes of nucleotide or protein sequences: correspondence discriminant analysis (CDA)...
  24. ncbi Multilinear discriminant analysis for face recognition
    Shuicheng Yan
    Microsoft Research Asia, Beijing 100080, China
    IEEE Trans Image Process 16:212-20. 2007
    ..We call this algorithm multilinear discriminant analysis (MDA), which has the following characteristics: 1) multiple interrelated subspaces can collaborate to ..
  25. ncbi Comparison of linear, nonlinear, and feature selection methods for EEG signal classification
    Deon Garrett
    Department of Computer Science, Colorado State University, Fort Collins 80523, USA
    IEEE Trans Neural Syst Rehabil Eng 11:141-4. 2003
    ..This paper reports the results of a linear (linear discriminant analysis) and two nonlinear classifiers (neural networks and support vector machines) applied to the classification ..
  26. ncbi Generalizing discriminant analysis using the generalized singular value decomposition
    Peg Howland
    Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA
    IEEE Trans Pattern Anal Mach Intell 26:995-1006. 2004
    b>Discriminant analysis has been used for decades to extract features that preserve class separability. It is commonly defined as an optimization problem involving covariance matrices that represent the scatter within and between clusters...
  27. ncbi Assessment and comparison of different methods for heartbeat classification
    I Jekova
    Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria
    Med Eng Phys 30:248-57. 2008
    ..the classification abilities of four classification methods--Kth nearest neighbour rule, neural networks, discriminant analysis and fuzzy logic...
  28. ncbi Study of discriminant analysis applied to motor imagery bipolar data
    Carmen Vidaurre
    Dp IEE, Edificio Los Tejos, Public University of Navarre, Campus Arrosadia s n, Pamplona, 31006, Spain
    Med Biol Eng Comput 45:61-8. 2007
    We present a study of linear, quadratic and regularized discriminant analysis (RDA) applied to motor imagery data of three subjects...
  29. pmc Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data
    Herbert Pang
    Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina 27705, USA
    Biometrics 65:1021-9. 2009
    ..Diagonal discriminant analysis, support vector machines, and k-nearest neighbor have been suggested as among the best methods for small ..
  30. ncbi Classification of adolescent psychotic disorders using linear discriminant analysis
    Patricia J Pardo
    The Domenici Research Center for Mental Illness, Brain Sciences Center, Minneapolis Veterans Affairs Medical Center, Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, 55454, USA
    Schizophr Res 87:297-306. 2006
    ..The differential diagnosis between schizophrenia and bipolar disorder during adolescence presents a major clinical problem. Can these two diagnoses be differentiated objectively early in the courses of illness?..
  31. ncbi Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: an application-oriented study
    Marius E Mayerhoefer
    Department of Radiology, MR Center of Excellence, Medical University of Vienna, Waehringer Guertel 18 20, 1090 Vienna, Austria
    Med Phys 36:1236-43. 2009
    ..0 T scanner equipped with a microimaging gradient insert coil. Linear discriminant analysis and k nearest neighbor classification were used for texture-based pattern discrimination...
  32. pmc Subspace projection approaches to classification and visualization of neural network-level encoding patterns
    Remus Osan
    Center for Systems Neurobiology, Department of Pharmacology, Boston University, Boston, Massachusetts, United States of America
    PLoS ONE 2:e404. 2007
    ..Here we systematically employed a series of projection methods, such as Multiple Discriminant Analysis (MDA), Principal Components Analysis (PCA) and Artificial Neural Networks (ANN), and compared them with ..
  33. doi Decoding subjective preference from single-trial near-infrared spectroscopy signals
    Sheena Luu
    Institute of Biomaterials and Biomedical Engineering, 164 College Street Room 407, University of Toronto, Toronto, Ontario M5S 3G9, Canada
    J Neural Eng 6:016003. 2009
    ..Using mean signal amplitudes as features and linear discriminant analysis, we were able to decode which drink was preferred on a single-trial basis with an average accuracy of 80%.
  34. ncbi Further evidence to show population specificity of discriminant function equations for sex determination using the talus of South African blacks
    Mubarak A Bidmos
    School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa
    J Forensic Sci 49:1165-70. 2004
    ....
  35. ncbi Helical CT evaluation of the chemical composition of urinary tract calculi with a discriminant analysis of CT-attenuation values and density
    Marie France Bellin
    Department of Radiology, Hopital Paul Brousse, AP HP, Université Paris 11, 12 14 av P V Couturier, 94804 Villejuif Cedex, France
    Eur Radiol 14:2134-40. 2004
    ..When the first two ranks of highest probability for the accurate classification of each calculus type were taken into account, all cystine, calcium oxalate monohydrate and brushite calculi were correctly classified...
  36. ncbi Craniometric relationships among medieval Central European populations: implications for Croat migration and expansion
    Mario Slaus
    Department of Archaeology, Croatian Academy of Sciences and Arts, A Kovacica 5, 10000 Zagreb, Croatia
    Croat Med J 45:434-44. 2004
    ....
  37. doi Optimization of human plasma 1H NMR spectroscopic data processing for high-throughput metabolic phenotyping studies and detection of insulin resistance related to type 2 diabetes
    Anthony D Maher
    Department of Biomolecular Medicine, Division of Surgery, Oncology, Reproductive Biology and Anaesthetics, Faculty of Medicine, Imperial College London, South Kensington SW7 2AZ, United Kingdom
    Anal Chem 80:7354-62. 2008
    ..methods such as principal component analysis (PCA), orthogonal projections to latent structures discriminant analysis (O-PLS-DA) and statistical spectroscopic tools such as statistical total correlation spectroscopy (STOCSY),..
  38. doi Automated classification of multi-spectral MR images using Linear Discriminant Analysis
    Geng Cheng Lin
    Department of Electrical Engineering, National Central University, Jhongli 320, Taiwan, ROC
    Comput Med Imaging Graph 34:251-68. 2010
    ..This work proposes a novel approach called "Unsupervised Linear Discriminant Analysis (ULDA)" to classify and segment the three major tissues, i.e...
  39. ncbi Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control
    Rami N Khushaba
    Faculty of Engineering and Information Technology, University of Technology Sydney, NSW 2007, Australia
    IEEE Trans Biomed Eng 57:1410-9. 2010
    ..In this paper, a new dimensionality reduction method, referred to as orthogonal fuzzy neighborhood discriminant analysis (OFNDA), is proposed as a response to such a challenge...
  40. ncbi Exploratory investigation into mild brain injury and discriminant analysis with high frequency bands (32-64 Hz)
    K E Thornton
    Center for Health Psychology, South Plainfield, NJ, USA
    Brain Inj 13:477-88. 1999
    ..The combination of the discriminants resulted in a 100% accuracy rate for the 39 brain injured subjects for which discriminate values were available...
  41. doi Characterisation of non-viable whole barley, wheat and sorghum grains using near-infrared hyperspectral data and chemometrics
    Cushla M McGoverin
    Department of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch 7602, South Africa
    Anal Bioanal Chem 401:2283-9. 2011
    ..Viable and non-viable classes for partial least squares-discriminant analysis (PLS-DA) were assigned from PC scores that correlated with incubation time...
  42. ncbi Sexual dimorphism in the humerus: a comparative analysis of Chinese, Japanese and Thais
    M Y Iscan
    Department of Anatomy, University of Pretoria, South Africa
    Forensic Sci Int 98:17-29. 1998
    ..These findings confirm those of previous studies that there is a need for group specific metric standards of assessment...
  43. doi Liquid chromatography-mass spectrometry-based metabolomic analysis of livers from aged rats
    Nari Son
    Research Division for Emerging Innovation Technology, Korea Food Research Institute, Republic of Korea
    J Proteome Res 11:2551-8. 2012
    ..metabolites of rats aged 6, 12, 18, and 24 months; the MS data were processed by partial least-squares discriminant analysis (PLS-DA) to investigate the discrimination among sample groups...
  44. ncbi Discriminant analysis of anthropometric and biomotor variables among elite adolescent female athletes in four sports
    Mario Leone
    CHUM Hĵpital Notre Dame, University of Montreal, Canada
    J Sports Sci 20:443-9. 2002
    ..The biomotor variables were maximal aerobic power, muscular endurance and flexibility of the trunk. Discriminant analysis revealed three significant functions (P < 0. 05)...
  45. ncbi Discriminant analysis of patients' reasons for choosing or refusing treatments for partial edentulism
    C R Leles
    Department of Prevention and Oral Rehabilitation, School of Dentistry, Federal University of Goias, Goiania, Goias, Brazil
    J Oral Rehabil 36:909-15. 2009
    ..b>Discriminant analysis was used to examine the impact of each reason for a patient's decision to choose or refuse treatment ..
  46. doi [Diagnostic value of clinical indices in syndrome differentiation of chronic hepatitis B: an exploration based on receiver operating characteristic curves and stepwise discriminant analysis]
    Yu Zhao
    Institute of Liver Diseases, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    Zhong Xi Yi Jie He Xue Bao 10:1382-7. 2012
    ....
  47. doi Nanoarray of polycyclic aromatic hydrocarbons and carbon nanotubes for accurate and predictive detection in real-world environmental humidity
    Yael Zilberman
    The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion Israel Institute of Technology, Haifa 32000, Israel
    ACS Nano 5:6743-53. 2011
    ..The results presented here could lead to the development of a cost-effective, lightweight, low-power, and non-invasive tool for a widespread detection of VOCs in real-world environmental, security, food, health, and other applications...
  48. doi Sex determination by discriminant function analysis of the tibia for contemporary Croats
    Mario Slaus
    Department of Archaeology, Croatian Academy of Sciences and Arts, Ante Kovacica 5, 10 000 Zagreb, Croatia
    Forensic Sci Int 226:302.e1-4. 2013
    ..Standardized coefficients of the discriminant functions generated in this study support the results of previous studies that found that breadth dimensions provide better separation of the sexes than length...
  49. pmc Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection
    Michael C Wu
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
    Bioinformatics 25:1145-51. 2009
    ..For a significantly differentially expressed pathway, it is also of substantial interest to select important genes that drive the differential expression of the pathway...
  50. doi Discrimination of the geographical origin of beef by (1)H NMR-based metabolomics
    Youngae Jung
    Seoul Center, Korea Basic Science Institute, Seoul 136 713, Republic of Korea
    J Agric Food Chem 58:10458-66. 2010
    ..Principal component analysis (PCA) and orthogonal projection to latent structure-discriminant analysis (OPLS-DA) showed significant separation between extracts of beef originating from four countries: ..
  51. ncbi Assessment of mild hindlimb lameness during over ground locomotion using linear discriminant analysis of inertial sensor data
    T Pfau
    Structure and Motion Laboratory, Department of Veterinary Basic Sciences, The Royal Veterinary College, North Mymms, Hatfield, Hertfordshire AL9 7TA, UK
    Equine Vet J 39:407-13. 2007
    ..The inertial sensor system can be used to capture 6 degree of freedom movement during over ground locomotion and here was used to quantify tuber coxae movement in nonlame and lame horses...
  52. doi Intrauterine growth restriction alters the metabonome of the serum and jejunum in piglets
    Qinghua He
    State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, P R China
    Mol Biosyst 7:2147-55. 2011
    ....
  53. doi Chemometric application in identifying sources of organic contaminants in Langat river basin
    Rozita Osman
    Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
    Environ Monit Assess 184:1001-14. 2012
    ..This study presented the application of selected chemometric techniques: cluster analysis (CA), discriminant analysis (DA), and principal component analysis (PCA) to classify the pollution sources in Langat river basin based ..
  54. ncbi Near infrared hyperspectral imaging for the evaluation of endosperm texture in whole yellow maize (Zea maize L.) kernels
    Marena Manley
    Department of Food Science, Stellenbosch University, Matieland Stellenbosch, South Africa
    J Agric Food Chem 57:8761-9. 2009
    ..The vitreous and floury endosperm clusters were used to make a partial least-squares discriminant analysis (PLS-DA) model, using four components, with a coefficient of determination (R(2)) for the y data (kernel ..
  55. doi Multiple binary classifications via linear discriminant analysis for improved controllability of a powered prosthesis
    Levi J Hargrove
    Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB E3B5A3, Canada
    IEEE Trans Neural Syst Rehabil Eng 18:49-57. 2010
    ..case, the proposed system was compared to a state-of-the-art pattern recognition system based on linear discriminant analysis and a conventional myoelectric control scheme with mode switching...
  56. doi Lactate and glycine-potential MR biomarkers of prognosis in estrogen receptor-positive breast cancers
    Guro F Giskeødegård
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology NTNU, Trondheim, Norway
    NMR Biomed 25:1271-9. 2012
    ..The data were analyzed by multivariate principal component analysis and partial least-squares discriminant analysis, and the findings of important metabolites were confirmed by spectral integration of the metabolite peaks...
  57. ncbi Spatial assessment of Langat River water quality using chemometrics
    Hafizan Juahir
    Department of Environmental Sciences, Faculty of Environmental Studies, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
    J Environ Monit 12:287-95. 2010
    ..with the assessment of Langat River water quality with some chemometrics approaches such as cluster and discriminant analysis coupled with an artificial neural network (ANN)...
  58. ncbi Dental morphology and variation in theropod dinosaurs: implications for the taxonomic identification of isolated teeth
    Joshua B Smith
    Department of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA, USA
    Anat Rec A Discov Mol Cell Evol Biol 285:699-736. 2005
    ..However, the results indicate that expanding the standard should facilitate the identification of numerous types of isolated theropod teeth...
  59. pmc Graph constrained discriminant analysis: a new method for the integration of a graph into a classification process
    Vincent Guillemot
    Laboratory of Functional Genomics CEA, DSV, IRCM, Evry, France
    PLoS ONE 6:e26146. 2011
    ..We present a method called graph-constrained discriminant analysis (gCDA), which aims to integrate the information contained in one or several GRNs into a classification ..
  60. pmc Discriminant analysis of ¹⁸F-fluorothymidine kinetic parameters to predict survival in patients with recurrent high-grade glioma
    Mirwais Wardak
    Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
    Clin Cancer Res 17:6553-62. 2011
    ....
  61. ncbi Osteometric variation in the humerus: sexual dimorphism in South Africans
    M Steyn
    Department of Anatomy, University of Pretoria, South Africa
    Forensic Sci Int 106:77-85. 1999
    ..South African collections are ideal for osteometric analysis, because they are still growing in numbers with cross-sectional representatives from the country...
  62. doi Local linear discriminant analysis framework using sample neighbors
    Zizhu Fan
    Bio Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China
    IEEE Trans Neural Netw 22:1119-32. 2011
    The linear discriminant analysis (LDA) is a very popular linear feature extraction approach. The algorithms of LDA usually perform well under the following two assumptions...
  63. ncbi CSF-neurofilament and levodopa tests combined with discriminant analysis may contribute to the differential diagnosis of Parkinsonian syndromes
    B Holmberg
    Institute of Clinical Neuroscience, Department of Neurology, University of Goteborg, Sahlgrenska University Hospital, 413 45, Sweden
    Parkinsonism Relat Disord 8:23-31. 2001
    ..As they are pathologically unrelated, the diagnostic precision increases compared to clinical diagnoses when they are combined...
  64. doi Kernel discriminant analysis for positive definite and indefinite kernels
    Elzbieta Pekalska
    School of Computer Science, University of Manchester, Oxford Road, M13 9PL Manchester, UK
    IEEE Trans Pattern Anal Mach Intell 31:1017-32. 2009
    ..We illustrate this on artificial and real data for both positive definite and indefinite kernels...
  65. ncbi Discriminative feature co-occurrence selection for object detection
    Takeshi Mita
    Multimedia Laboratory, Corporate Research and Development Center, Toshiba Corporation, Kawasaki, Japan
    IEEE Trans Pattern Anal Mach Intell 30:1257-69. 2008
    ....
  66. ncbi Use of correspondence discriminant analysis to predict the subcellular location of bacterial proteins
    Guy Perrière
    Laboratoire de Biometrie et Biologie Evolutive, UMR CNRS no 5558, Universite Claude Bernard Lyon 1, 43, Bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France
    Comput Methods Programs Biomed 70:99-105. 2003
    Correspondence discriminant analysis (CDA) is a multivariate statistical method derived from discriminant analysis which can be used on contingency tables...
  67. ncbi Short prokaryotic DNA fragment binning using a hierarchical classifier based on linear discriminant analysis and principal component analysis
    Hao Zheng
    School of Electrical and Computer Engineering, Georgia Institute of Technology, 210 Technology Circle, Savannah, GA 31407, USA
    J Bioinform Comput Biol 8:995-1011. 2010
    ..classifier consists of four layers of local classifiers that are implemented based on the linear discriminant analysis. These local classifiers are responsible for binning prokaryotic DNA fragments into superkingdoms, of the ..
  68. ncbi Contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia
    A Andriulli
    Division of Gastroenterology, Casa Sollievo della Sofferenza Hospital, IRCCS, I 71013 San Giovanni Rotondo, Italy
    Dig Liver Dis 35:222-31. 2003
    ....
  69. doi Clustering linear discriminant analysis for MEG-based brain computer interfaces
    Jinyin Zhang
    Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
    IEEE Trans Neural Syst Rehabil Eng 19:221-31. 2011
    In this paper, we propose a clustering linear discriminant analysis algorithm (CLDA) to accurately decode hand movement directions from a small number of training trials for magnetoencephalography-based brain computer interfaces (BCIs)...
  70. ncbi Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets
    Olivier Cloarec
    Biological Chemistry Section, Faculty of Medicine, Biomedical Sciences Division, Imperial College London, South Kensington, London, UK
    Anal Chem 77:1282-9. 2005
    ..of STOCSY with supervised pattern recognition and particularly orthogonal projection on latent structure-discriminant analysis (O-PLS-DA) offers a new powerful framework for analysis of metabonomic data...
  71. ncbi The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate
    Juan Antonio Sánchez Mesa
    Department of Plant Biology, University of Cordoba, Edificio Celestino Mutis, Campus de Rabanales, E 14071 Cordoba, Spain
    Int J Biometeorol 49:355-62. 2005
    ....
  72. doi Identification of peripheral neuropathy in type-2 diabetic subjects by static posturography and linear discriminant analysis
    S Fioretti
    Department of Biomedical, Electronics and Telecommunication Engineering, Universita Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy
    Gait Posture 32:317-20. 2010
    ..This study examines whether it is possible to assess the presence of diabetic neuropathy at an early stage by static posturography tests...
  73. doi Multiple correspondence discriminant analysis: an application to detect stratification in copy number variation
    Alejandro Caceres
    Center for research in environmental epidemiology CREAL, Parc de Recerca Biomedica de Barcelona, 88 Doctor Aiguader, Barcelona, Spain
    Stat Med 29:3284-93. 2010
    ..In addition, we propose the use of multiple correspondence discriminant analysis (MCDA) to identify an optimal set of copy number variants (CNVs) that correctly infers the population ..
  74. pmc A classification approach for genotyping viral sequences based on multidimensional scaling and linear discriminant analysis
    Jiwoong Kim
    Department of Bioinformatics and Life Sciences, Soongsil University, Seoul, Korea
    BMC Bioinformatics 11:434. 2010
    ..Thus, MuLDAS utilizes full spectra of well characterized sequences as references, typically of an order of hundreds, in order to estimate the significance of each genotype assignment...
  75. doi Faecal pollution source identification in an urbanizing catchment using antibiotic resistance profiling, discriminant analysis and partial least squares regression
    S P Carroll
    South Burnett Regional Council, Infrastructure Services, Glendon Street, Kingaroy, Queensland, Australia
    Water Res 43:1237-46. 2009
    ..b>Discriminant Analysis (DA) was used to differentiate between the ARP of source isolates and to identify the sources of faecal ..
  76. pmc Study of age-related changes in postural control during quiet standing through linear discriminant analysis
    Guilherme L Cavalheiro
    Biomedical Engineering Laboratory, Faculty of Electrical Engineering, Federal University of Uberlandia, Campus Santa Mônica, Bloco 1E, Av, João Naves de Avila, 2121, Uberlandia, Minas Gerais, 38, 408 100, Brazil
    Biomed Eng Online 8:35. 2009
    ..In this context, this study proposes the analysis of the postural control, measured by the displacement of the COP, in groups of young and elderly adults...
  77. ncbi Construction of an efficacious model for a nondestructive identification of traditional Chinese medicines Liuwei Dihuang pills from different manufacturers using near-infrared spectroscopy and moving window partial least-squares discriminant analysis
    Hai Yan Fu
    State Key Laboratory of Chemo Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China
    Anal Sci 25:1143-8. 2009
    ..on the basis of near-infrared spectra (NIRS) coupled with moving window partial least-squares discriminant analysis (MWPLSDA)...
  78. doi The use of cluster and discriminant analysis in the investigations of the role of trace metals in the pathogenesis of Parkinson's disease
    Joanna Chwiej
    Department of Applied Nuclear Physics, Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al Mickiewicza 30, 30 059 Krakow, Poland
    J Trace Elem Med Biol 24:78-88. 2010
    ..The elemental data were processed using two multivariate techniques, namely cluster and discriminant analysis. The statistical methods were used for data reduction, both unsupervised and supervised classification as ..
  79. doi Discriminant analysis of autofluorescence spectra for classification of oral lesions in vivo
    J L Jayanthi
    Biophotonics Laboratory, Centre for Earth Science Studies, Kerala, India
    Lasers Surg Med 41:345-52. 2009
    ..This study evaluates the potential of a multivariate statistical algorithm to classify oral mucosa from autofluorescence spectral features recorded in vivo...
  80. ncbi Prediction of vocational outcome of people with brain injury after rehabilitation: a discriminant analysis
    K L Leung
    Occupational Therapy Department, MacLehose Medical Rehabilitation Centre, Hospital Authority, Hong Kong, China
    Work 25:333-40. 2005
    ..8% of the subjects...
  81. ncbi Application of partial least squares discriminant analysis to two-dimensional difference gel studies in expression proteomics
    Natasha A Karp
    Department of Biochemistry, University of Cambridge, Cambridge CB2 1QW, UK
    Proteomics 5:81-90. 2005
    ..Partial least squares-discriminant analysis (PLS-DA), a multivariate statistical approach, was combined with an iterative threshold process to ..
  82. ncbi Extraction, interpretation and validation of information for comparing samples in metabolic LC/MS data sets
    Par Jonsson
    Research Group for Chemometrics, Department of Chemistry, Umea University, SE 90187 Umea, Sweden
    Analyst 130:701-7. 2005
    ..The results showed that the evaluation of the extracted information data using partial least square discriminant analysis (PLS-DA) provided a robust, predictive and transparent model for the metabolic differences between the two ..
  83. ncbi MRI characteristics in focal hepatic disease before and after administration of MnDPDP: discriminant analysis as a diagnostic tool
    Thomas K Helmberger
    Institute of Clinical Radiology, Klinikum Grosshadern, Ludwig Maximilians University, Marchioninistrasse 15, 81377 Munich, Germany
    Eur Radiol 12:62-70. 2002
    ..pre- and post-Mangafodipir trisodium (MnDPDP) administration using a computerized multivariable, discriminant analysis (DA). In a multicenter trial, 151 patients with focal liver disease were studied at 1.5 and 1...
  84. pmc Discriminative motif discovery in DNA and protein sequences using the DEME algorithm
    Emma Redhead
    Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, 4072 Australia
    BMC Bioinformatics 8:385. 2007
    ....
  85. pmc Conrad: gene prediction using conditional random fields
    David DeCaprio
    The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
    Genome Res 17:1389-98. 2007
    ..Conrad's implementation of SMCRFs advances the state of the art in gene prediction in fungi and provides a robust platform for both current application and future research...
  86. ncbi Multi-class cancer classification via partial least squares with gene expression profiles
    Danh V Nguyen
    Department of Statistics, Texas A and M University, College Station, TX 77843, USA
    Bioinformatics 18:1216-26. 2002
    ..The need for multi-class discrimination methodologies is apparent in many microarray experiments where various cancer types are considered simultaneously...
  87. ncbi Locating the genes underlying a simulated complex disease by discriminant analysis
    X Li
    Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA
    Genet Epidemiol 21:S516-21. 2001
    ..This approach uses the application of either of two methods of standard (stepwise) discriminant analysis to detect linkage based on the differential marker identity-by-descent distributions among the three ..
  88. ncbi Application of partial least squares discriminant analysis and variable selection procedures: a 2D-PAGE proteomic study
    Emilio Marengo
    Dipartimento di Scienze dell Ambiente e della Vita, Universita degli Studi del Piemonte Orientale, Via Bellini 25 G, 15100, Alessandria, Italy
    Anal Bioanal Chem 390:1327-42. 2008
    ..Here, partial least squares discriminant analysis was applied to improve the results obtained by classic image analysis and to identify the significant ..
  89. doi Discriminant analysis for longitudinal data with multiple continuous responses and possibly missing data
    Guillermo Marshall
    Departamento de Estadistica, Facultad de Matematicas, Pontificia Universidad Catolica de Chile, Casilla 306, Correo 22, Santiago, Chile
    Biometrics 65:69-80. 2009
    ..We present an example using data from a study in 161 pregnant women in Santiago, Chile, where the main interest is to predict normal versus abnormal pregnancy outcomes...
  90. ncbi Striatal antibodies in children with Tourette's syndrome: multivariate discriminant analysis of IgG repertoires
    J T Wendlandt
    Department of Neurology, Johns Hopkins University School of Medicine, Harvey 811, 600 N. Wolfe Street, Baltimore, MD 21287-8811, USA
    J Neuroimmunol 119:106-13. 2001
    ..A MANOVA differentiated between TS and control blots, and a discriminant analysis demonstrated which variables contributed most to differences between groups...
  91. ncbi A discriminant analysis extension to mixed models
    L Tomasko
    Merck Research Laboratories, Merck and Co, Inc, West Point, PA 19486, USA
    Stat Med 18:1249-60. 1999
    b>Discriminant analysis is commonly used to classify an observation into one of two (or more) populations on the basis of correlated measurements. Classical discriminant analysis approaches require complete data for all observations...
  92. ncbi Relationship between human genotype and phenotype of N-acetyltransferase (NAT2) as estimated by discriminant analysis and multiple linear regression: 1. Genotype and N-acetylation in vivo
    P Meisel
    Department of Pharmacology, Ernst Moritz Arndt University Greifswald, Germany
    Pharmacogenetics 7:241-6. 1997
    ..Application of discriminant analysis allowed the separation of the rapid and slow acetylators solely on the base of their respective mutation ..
  93. ncbi Tumor classification by partial least squares using microarray gene expression data
    Danh V Nguyen
    Center for Image Processing and Integrated Computing, University of California, Davis, CA 95616, USA
    Bioinformatics 18:39-50. 2002
    ..Modification of existing statistical methodologies or development of new methodologies is needed for the analysis of microarray data...
  94. pmc Linear discriminant analysis-based estimation of the false discovery rate for phosphopeptide identifications
    Xiuxia Du
    Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, USA
    J Proteome Res 7:2195-203. 2008
    ..A linear discriminant analysis is then performed to determine how to optimally combine peptide scores (in this case, from SEQUEST) into a ..
  95. pmc Global discriminative learning for higher-accuracy computational gene prediction
    Axel Bernal
    Department of Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
    PLoS Comput Biol 3:e54. 2007
    ....
  96. ncbi Class II MHC quantitative binding motifs derived from a large molecular database with a versatile iterative stepwise discriminant analysis meta-algorithm
    R R Mallios
    Medical Information Resources, University of California, San Francisco, 2615 East Clinton Avenue, Fresno, CA 93703, USA
    Bioinformatics 15:432-9. 1999
    ..An epitope is a peptide segment that binds to both a T-cell receptor and a major histocompatibility complex (MHC) molecule. Predicting which peptide segments bind MHC molecules is the first step in epitope prediction...
  97. ncbi On counting position weight matrix matches in a sequence, with application to discriminative motif finding
    Saurabh Sinha
    Department of Computer Science, University of Illinois Urbana Champaign, 201 N Goodwin Ave, Urbana, IL 61801, USA
    Bioinformatics 22:e454-63. 2006
    ..We finally use the algorithm on genes predictive of social behavior in the honey bee, and find interesting motifs...
  98. ncbi Predicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm
    R R Mallios
    Office of Sponsored Projects and Research, University of California, San Francisco, 2615 East Clinton Avenue, Fresno, CA 93703, USA
    Bioinformatics 17:942-8. 2001
    ..An agretope is that portion of a peptide that interacts with an MHC molecule. The identification and prediction of agretopes is the first step towards vaccine design...
  99. ncbi Predicting class I major histocompatibility complex (MHC) binders using multivariate statistics: comparison of discriminant analysis and multiple linear regression
    Irini A Doytchinova
    Faculty of Pharmacy, Medical University of Sofia, 2 Dunav St, 1000 Sofia, Bulgaria
    J Chem Inf Model 47:234-8. 2007
    ..In the present study, we compare discriminant analysis and multiple linear regression as algorithmic engines for the definition of quantitative matrices for ..
  100. ncbi Use of SHIRPA and discriminant analysis to characterise marked differences in the behavioural phenotype of six inbred mouse strains
    D C Rogers
    Neuroscience Research, SmithKline Beecham Pharmaceuticals, Harlow, UK
    Behav Brain Res 105:207-17. 1999
    ..transgenic and knockout research was carried out using a battery of behavioural tests (SHIRPA) followed by discriminant analysis of the data...
  101. ncbi A new strategy to filter out false positive identifications of peptides in SEQUEST database search results
    Jiyang Zhang
    College of Mechanical and Electronic Engineering and Automatization, National University of Defense Technology, Changsha, China
    Proteomics 7:4036-44. 2007
    ..These results indicate that the new method can reliably control the FPR of peptide identifications and is more sensitive than traditional cutoff-based methods...

Research Grants73

  1. Peripheral Biomarkers in Familial Alzheimer's Disease
    Paul Coleman; Fiscal Year: 2009
    ..Statistical analysis of these data will be by means of multivariate discriminant analysis, as we have done in our earlier work...
  2. Intermittent Hypoxia and Retinopathy of prematurity
    Christopher G Wilson; Fiscal Year: 2010
    ..In Specific Aim 2, we will use a linear mixed model and discriminant analysis to distinguish patterns of desaturation, resaturation, and hypersaturation in infants who do and do not ..
  3. GENETIC ANALYSIS OF ALTERED IMMUNITY IN CELIAC DISEASE
    JOSEPH MICHALSKI; Fiscal Year: 1990
    ..e., detection of "carriers". Pedigree discriminant analysis of the multivariate data on each member of the pedigrees will be used to define a constellation of immune ..
  4. DOCTOR-PATIENT COMMUNICATIONS AND MEDICAL MALPRACTICE
    Wendy Levinson; Fiscal Year: 1992
    ..Statistical methods will include the use of nested MANOVA, nested ANOVA, and discriminant analysis to test the study hypotheses...
  5. STUDIES OF VISUAL FUNCTION IN RETINAL ISCHEMIA
    Mary Johnson; Fiscal Year: 1990
    ..Linear discriminant analysis will be performed separately on these groups, in order to determine which ERG and clinical variables ..
  6. Speech Intelligibility Testing in Children with Repaired Cleft Palate
    David Zajac; Fiscal Year: 2007
    ..Multiple regression and descriptive discriminant analysis techniques will be employed...
  7. PSYCHONEUROENDOCRINOLOGY OF PTSD IN HOLOCAUST SURVIVORS
    Rachel Yehuda; Fiscal Year: 1992
    ..The PI has been able to utilize the statistical techniques of Stepwise Discriminant Analysis and Multidimensional Scaling to correctly classify Vietnam Veterans with PTSD from other diagnostic groups...
  8. PSYCHONEUROENDOCRINOLOGY OF PTSD IN HOLOCAUST SURVIVORS
    Rachel Yehuda; Fiscal Year: 1993
    ..The PI has been able to utilize the statistical techniques of Stepwise Discriminant Analysis and Multidimensional Scaling to correctly classify Vietnam Veterans with PTSD from other diagnostic groups...
  9. Risk for Workplace Violence in Long-Haul Truckers
    Debra Anderson; Fiscal Year: 2003
    ..Dependent on the specific aim, bivariate relationships, logistic regression, discriminant analysis, Cronbach's alpha, and ANCOVA will be used...
  10. Risk for Workplace Violence in Long-Haul Truckers
    Debra Anderson; Fiscal Year: 2002
    ..Dependent on the specific aim, bivariate relationships, logistic regression, discriminant analysis, Cronbach's alpha, and ANCOVA will be used...
  11. Risk for Workplace Violence in Long-Haul Truckers
    Debra Anderson; Fiscal Year: 2004
    ..Dependent on the specific aim, bivariate relationships, logistic regression, discriminant analysis, Cronbach's alpha, and ANCOVA will be used...
  12. QUANTITATIVE ANALYSIS OF MASTICATORY DYSFUNCTION
    GEOFFREY GERSTNER; Fiscal Year: 1992
    ..The measures of these parameters will then be used in a discriminant analysis to determine the extent to which the mastication of TMD subjects is different from the mastication of the ..
  13. Pilot--Perception of anginal chest pain in CAD
    Laura Kimble; Fiscal Year: 2002
    ..It is likely that more extensive modeling including logistic regression and/or discriminant analysis will be done for the third research question...
  14. Pilot--Perception of anginal chest pain in CAD
    Laura Kimble; Fiscal Year: 2001
    ..It is likely that more extensive modeling including logistic regression and/or discriminant analysis will be done for the third research question...
  15. Rett syndrome: determinants of outcome and burden
    Helen Leonard; Fiscal Year: 2006
    ..regression models to examine effects of different variables on child and family level outcomes and discriminant analysis, recursive partitioning and machine learning to identify genotype/phenotype associations at the individual ..
  16. Rett syndrome: determinants of outcome and burden
    Helen Leonard; Fiscal Year: 2003
    ..regression models to examine effects of different variables on child and family level outcomes and discriminant analysis, recursive partitioning and machine learning to identify genotype/phenotype associations at the individual ..
  17. Rett syndrome: determinants of outcome and burden
    Helen Leonard; Fiscal Year: 2007
    ..regression models to examine effects of different variables on child and family level outcomes and discriminant analysis, recursive partitioning and machine learning to identify genotype/phenotype associations at the individual ..
  18. Rett syndrome: determinants of outcome and burden
    Helen Leonard; Fiscal Year: 2005
    ..regression models to examine effects of different variables on child and family level outcomes and discriminant analysis, recursive partitioning and machine learning to identify genotype/phenotype associations at the individual ..
  19. Rett syndrome: determinants of outcome and burden
    Helen Leonard; Fiscal Year: 2004
    ..regression models to examine effects of different variables on child and family level outcomes and discriminant analysis, recursive partitioning and machine learning to identify genotype/phenotype associations at the individual ..
  20. Profiling Plasma Unbound Free Fatty Acids for Early Detection of Stroke
    ALAN MARC KLEINFELD; Fiscal Year: 2010
    ..Using linear discriminant analysis, stroke classifiers will be constructed from the FFAu profiles and from the set of probe responses...
  21. WHAT DAMAGE DOES VAGINAL BIRTH CAUSE
    John DeLancey; Fiscal Year: 2000
    ..interactions have at least an 80% probability of correct prediction of SI compared with PC or NC by using discriminant analysis. 3) Construct a predictive model for SUI using discriminant functions and classification trees to indicate ..
  22. WHAT DAMAGE DOES VAGINAL BIRTH CAUSE
    John DeLancey; Fiscal Year: 1999
    ..interactions have at least an 80% probability of correct prediction of SI compared with PC or NC by using discriminant analysis. 3) Construct a predictive model for SUI using discriminant functions and classification trees to indicate ..
  23. WHAT DAMAGE DOES VAGINAL BIRTH CAUSE
    John DeLancey; Fiscal Year: 2000
    ..interactions have at least an 80% probability of correct prediction of SI compared with PC or NC by using discriminant analysis. 3) Construct a predictive model for SUI using discriminant functions and classification trees to indicate ..
  24. WHAT DAMAGE DOES VAGINAL BIRTH CAUSE
    John DeLancey; Fiscal Year: 1999
    ..interactions have at least an 80% probability of correct prediction of SI compared with PC or NC by using discriminant analysis. 3) Construct a predictive model for SUI using discriminant functions and classification trees to indicate ..
  25. Computational Methods for Analysis of Mouth Shapes in Sign Languages
    Aleix M Martinez; Fiscal Year: 2010
    ..To successfully do this, our second aim is to design a set of shape analysis and discriminant analysis algorithms that can efficiently analyze the large number of frames in these video clips...
  26. Metabolomic and Isotopomer Analysis of Xenobiotic Stress
    Henri Brunengraber; Fiscal Year: 2007
    ..A number of techniques will be evaluated, including Principal Component Analysis, Fisher Discriminant Analysis and Partial Least Squares. 2...
  27. Proteomics Approaches to Interstitial Cystitis.
    Brian Liu; Fiscal Year: 2006
    ..e., hierarchical cluster analysis and K-means methods, canonical correlations, discriminant analysis, Bayesian statistics, self-organizing maps and neural networks) that can stratify samples according to ..
  28. Metabolomic and Isotopomer Analysis of Xenobiotic Stress
    Henri Brunengraber; Fiscal Year: 2006
    ..A number of techniques will be evaluated, including Principal Component Analysis, Fisher Discriminant Analysis and Partial Least Squares. 2...
  29. Metabolomic and Isotopomer Analysis of Xenobiotic Stress
    Henri Brunengraber; Fiscal Year: 2009
    ..A number of techniques will be evaluated, including Principal Component Analysis, Fisher Discriminant Analysis and Partial Least Squares. 2...
  30. Metabolomic and Isotopomer Analysis of Xenobiotic Stress
    Henri Brunengraber; Fiscal Year: 2005
    ..A number of techniques will be evaluated, including Principal Component Analysis, Fisher Discriminant Analysis and Partial Least Squares. 2...
  31. Proteomics Approaches to Interstitial Cystitis.
    Brian Liu; Fiscal Year: 2004
    ..e., hierarchical cluster analysis and K-means methods, canonical correlations, discriminant analysis, Bayesian statistics, self-organizing maps and neural networks) that can stratify samples according to ..
  32. A PROSPECTIVE STUDY OF PERSONALITY AND RISK OF CANCER
    RICHARD SHEKELLE; Fiscal Year: 1980
    ..In addition, item analysis and discriminant analysis will be used to search for other aspects of personality that may be related to cancer incidence...
  33. Three-Class ROC Analysis for Task-Based Medical Image Quality Assessment
    Xin He; Fiscal Year: 2007
    ..proposed a three- class ROC analysis method that extends and unifies the decision theoretic, linear discriminant analysis and probabilistic foundations of binary ROC in a three-class paradigm...
  34. MEDICALLY TREATED AND FATAL SUICIDE ACTS: NUMBER & COST
    Ted Miller; Fiscal Year: 2000
    ..2) Using the pooled state data and CHAID tree-building tools, to develop and validate a discriminant analysis model for estimating injury causes from national or state hospital discharge data without E-codes...
  35. MEDICALLY TREATED AND FATAL SUICIDE ACTS: NUMBER & COST
    Ted Miller; Fiscal Year: 2002
    ..2) Using the pooled state data and CHAID tree-building tools, to develop and validate a discriminant analysis model for estimating injury causes from national or state hospital discharge data without E-codes...
  36. MEDICALLY TREATED AND FATAL SUICIDE ACTS: NUMBER & COST
    Ted Miller; Fiscal Year: 2001
    ..2) Using the pooled state data and CHAID tree-building tools, to develop and validate a discriminant analysis model for estimating injury causes from national or state hospital discharge data without E-codes...
  37. Adipose Metabolic Profiling for Obesity Drug Targeting
    Kyongbum Lee; Fiscal Year: 2005
    ..parallel metabolic flux libraries using established modeling methodologies, d) Perform multivariate discriminant analysis on the metabolite and flux libraries to identify significant markers for each of the growth conditions...
  38. Adipose Metabolic Profiling for Obesity Drug Targeting
    Kyongbum Lee; Fiscal Year: 2004
    ..parallel metabolic flux libraries using established modeling methodologies, d) Perform multivariate discriminant analysis on the metabolite and flux libraries to identify significant markers for each of the growth conditions...
  39. AUDITORY TEMPORAL PROCESSES, SPEECH PERCEPTION AND AGING
    Sandra Gordon Salant; Fiscal Year: 1992
    ..mos. 49-60) applies discriminant analysis statistical techniques to formulate profiles of temporal processing abilities of young and elderly ..
  40. METHAMPHETAMINE ABUSE--NATURAL HISTORY,TREATMENT EFFECTS
    Mary Lynn Brecht; Fiscal Year: 2000
    ..include descriptive measures, analysis of variance (ANOVA) and MANOVA, loglinear modeling, regression and discriminant analysis, survival methods, Markov models, and structural equation modeling...
  41. AUDITORY TEMPORAL PROCESSES, SPEECH PERCEPTION AND AGING
    Sandra Gordon Salant; Fiscal Year: 1993
    ..mos. 49-60) applies discriminant analysis statistical techniques to formulate profiles of temporal processing abilities of young and elderly ..
  42. AUDITORY TEMPORAL PROCESSES, SPEECH PERCEPTION AND AGING
    Sandra Gordon Salant; Fiscal Year: 1991
    ..mos. 49-60) applies discriminant analysis statistical techniques to formulate profiles of temporal processing abilities of young and elderly ..
  43. METHAMPHETAMINE ABUSE--NATURAL HISTORY,TREATMENT EFFECTS
    Mary Lynn Brecht; Fiscal Year: 1999
    ..include descriptive measures, analysis of variance (ANOVA) and MANOVA, loglinear modeling, regression and discriminant analysis, survival methods, Markov models, and structural equation modeling...
  44. Computational tools for T- and B-cell epitope prediction
    Werner Braun; Fiscal Year: 2007
    ..will be used in combination with a partial least squares approach to reduce the number of variables in the discriminant analysis and in artificial neural networks...
  45. A Virtual Reality Environment for Genomic Data Visualization
    Fatima Merchant; Fiscal Year: 2007
    ..select among a number of data projection techniques, including principal component analysis (PCA), linear discriminant analysis (LDA), singular value decomposition (SVD), multi-dimensional scaling (MDS), projection pursuit (PP), self-..
  46. Computational tools for T- and B-cell epitope prediction
    Werner Braun; Fiscal Year: 2006
    ..will be used in combination with a partial least squares approach to reduce the number of variables in the discriminant analysis and in artificial neural networks...
  47. Computational tools for T- and B-cell epitope prediction
    Werner A Braun; Fiscal Year: 2010
    ..will be used in combination with a partial least squares approach to reduce the number of variables in the discriminant analysis and in artificial neural networks...
  48. Proteomics Approaches to Interstitial Cystitis.
    Brian Liu; Fiscal Year: 2005
    ..e., hierarchical cluster analysis and K-means methods, canonical correlations, discriminant analysis, Bayesian statistics, self-organizing maps and neural networks) that can stratify samples according to ..
  49. Computational tools for T- and B-cell epitope prediction
    Werner Braun; Fiscal Year: 2005
    ..will be used in combination with a partial least squares approach to reduce the number of variables in the discriminant analysis and in artificial neural networks...
  50. Proteomics Approaches to Interstitial Cystitis.
    Brian Liu; Fiscal Year: 2003
    ..e., hierarchical cluster analysis and K-means methods, canonical correlations, discriminant analysis, Bayesian statistics, self-organizing maps and neural networks) that can stratify samples according to ..
  51. Computational tools for T- and B-cell epitope prediction
    Werner Braun; Fiscal Year: 2009
    ..will be used in combination with a partial least squares approach to reduce the number of variables in the discriminant analysis and in artificial neural networks...
  52. Tree Ensemble Regression and Classification Methods
    JAMES SCHIMERT; Fiscal Year: 2004
    ..This proposed software will enable medical researchers to obtain high prediction accuracy, and complement traditional tools like discriminant analysis, linear and logistic regression models, and the Cox model.
  53. URINARY MARKERS TO INDEX SKELETAL GROWTH
    Anne Marie Bollen; Fiscal Year: 1993
    ..A diagnostic decision rule will be constructed using logistic discriminant analysis to classify individuals in maturational stages using HP and LP excretion, age and sex...
  54. MULTIDIMENSIONAL HORMONAL ASSESSMENT OF PTSD
    John Mason; Fiscal Year: 1991
    ..Moving from a bivariate to a multivariate approach with 3 or more hormones, we found that Stepwise Discriminant Analysis provided 100% correct diagnostic classification of PTSD versus Major depressive disorder and that ..
  55. MULTIDIMENTSIONAL HORMONAL ASSESSMENT OF POST-TRAUMATIC
    John Mason; Fiscal Year: 1990
    ..Moving from a bivariate to a multivariate approach with 3 or more hormones, we found that Stepwise Discriminant Analysis provided 100% correct diagnostic classification of PTSD versus Major depressive disorder and that ..
  56. CELLULAR IMMUNITY TO CRYPTOSPORIDIUM PARVUM
    ANTHONY HAYWARD; Fiscal Year: 1999
    ..If the investigator shows that Cp can be eliminated from the biliary tree by non-specific as well as specific T-cell mediated responses, a subsequent clinical study in AIDS patients, using discriminant analysis, would be planned.
  57. CELLULAR IMMUNITY TO CRYPTOSPORIDIUM PARVUM
    ANTHONY HAYWARD; Fiscal Year: 2000
    ..If the investigator shows that Cp can be eliminated from the biliary tree by non-specific as well as specific T-cell mediated responses, a subsequent clinical study in AIDS patients, using discriminant analysis, would be planned.
  58. BEHAVIOR CHANGE EFFECTED BY BSE EDUCATIONAL PROGRAMS
    CAROLE CHRVALA; Fiscal Year: 1990
    ..and proficiency of BSE practice between each of the treatment groups, and multiple regression and discriminant analysis to identify those variables that differentiate between performers and non-performers of BSE as well as ..
  59. DEVELOPMENT OF SLEEP STATES AND SIDS RISK
    Ronald Harper; Fiscal Year: 1992
    ..Multivariate statistical procedures, including stepwise logistic regression and discriminant analysis, will also be used to assess differences among risk groups.
  60. DEVELOPMENT OF SLEEP STATES AND SIDS RISK
    Ronald Harper; Fiscal Year: 1993
    ..Multivariate statistical procedures, including stepwise logistic regression and discriminant analysis, will also be used to assess differences among risk groups.
  61. ELECTROPHYSIOLOGY OF CANNABINOID ACTION ON RAT BEHAVIORS
    Jing Yu Chang; Fiscal Year: 2001
    ..Ensemble activity of many neurons in relation to behavioral events will be examined using discriminant analysis. The goal of this research is to test the hypothesis that cannabinoids act to selectively disrupt ..
  62. ELECTROPHYSIOLOGY OF CANNABINOID ACTION ON RAT BEHAVIORS
    Jing Yu Chang; Fiscal Year: 2000
    ..Ensemble activity of many neurons in relation to behavioral events will be examined using discriminant analysis. The goal of this research is to test the hypothesis that cannabinoids act to selectively disrupt ..
  63. ELECTROPHYSIOLOGY OF CANNABINOID ACTION ON RAT BEHAVIORS
    Jing Yu Chang; Fiscal Year: 1999
    ..Ensemble activity of many neurons in relation to behavioral events will be examined using discriminant analysis. The goal of this research is to test the hypothesis that cannabinoids act to selectively disrupt ..
  64. PATTERN RECOGNITION IN NUCLEIC ACID SEQUENCE DATABASES
    Christian Burks; Fiscal Year: 1990
    ..These measures will be combined through discriminant analysis to create an algorithm that predicts whether or not a potential donor or acceptor site is functional...
  65. STATISTICAL METHODS FOR GENE MAPPING
    Kenneth L Lange; Fiscal Year: 2010
    ..apply these methods to estimation in random graphs, nonnegative matrix factorization, and multicategory discriminant analysis. These methods are also pertinent to fast logistic regression with case-control data and fast mapping of ..
  66. STATISTICAL METHODS FOR GENE MAPPING
    Kenneth L Lange; Fiscal Year: 2010
    ..apply these methods to estimation in random graphs, nonnegative matrix factorization, and multicategory discriminant analysis. These methods are also pertinent to fast logistic regression with case-control data and fast mapping of ..
  67. COMPARATIVE ANALYSIS OF CLASS II TREATMENT
    LYSLE JOHNSTON; Fiscal Year: 1993
    ..bias that often compromise case-control studies: selection will be independent of outcome and will employ discriminant analysis to define prognostic sub-groups of known treatment susceptibility - those for whom there is empirical ..
  68. STATISTICAL METHODS FOR GENE MAPPING
    Kenneth Lange; Fiscal Year: 2009
    ..apply these methods to estimation in random graphs, nonnegative matrix factorization, and multicategory discriminant analysis. These methods are also pertinent to fast logistic regression with case-control data and fast mapping of ..