principal component analysis


Summary: Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.

Top Publications

  1. ncbi Principal components analysis corrects for stratification in genome-wide association studies
    Alkes L Price
    Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
    Nat Genet 38:904-9. 2006
  2. pmc Population structure and eigenanalysis
    Nick Patterson
    Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
    PLoS Genet 2:e190. 2006
  3. pmc Reconstructing Indian population history
    David Reich
    Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
    Nature 461:489-94. 2009
  4. pmc Genes mirror geography within Europe
    John Novembre
    Department of Ecology and Evolutionary Biology, Interdepartmental Program in Bioinformatics, University of California Los Angeles, Los Angeles, California 90095, USA
    Nature 456:98-101. 2008
  5. pmc The genetic structure and history of Africans and African Americans
    Sarah A Tishkoff
    Department of Biology, University of Maryland, College Park, MD 20742, USA
    Science 324:1035-44. 2009
  6. pmc A genealogical interpretation of principal components analysis
    Gil McVean
    Department of Statistics, University of Oxford, Oxford, United Kingdom
    PLoS Genet 5:e1000686. 2009
  7. ncbi Genesis: cluster analysis of microarray data
    Alexander Sturn
    Institute of Biomedical Engineering, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria
    Bioinformatics 18:207-8. 2002
  8. pmc Interpreting principal component analyses of spatial population genetic variation
    John Novembre
    Department of Human Genetics, University of Chicago, 920 E 58th Street, CLSC 5th floor, Chicago, Illinois 60637, USA
    Nat Genet 40:646-9. 2008
  9. doi What is principal component analysis?
    Markus Ringner
    Markus Ringnér is in the Division of Oncology, Department of Clinical Sciences, Barngatan 2, Lund University, 221 85, Lund, Sweden
    Nat Biotechnol 26:303-4. 2008
  10. pmc Defining the healthy "core microbiome" of oral microbial communities
    Egija Zaura
    Department of Cariology, Academic Centre for Dentistry Amsterdam ACTA, University of Amsterdam and Free University Amsterdam, The Netherlands
    BMC Microbiol 9:259. 2009

Detail Information

Publications327 found, 100 shown here

  1. ncbi Principal components analysis corrects for stratification in genome-wide association studies
    Alkes L Price
    Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
    Nat Genet 38:904-9. 2006
    ..Our simple, efficient approach can easily be applied to disease studies with hundreds of thousands of markers...
  2. pmc Population structure and eigenanalysis
    Nick Patterson
    Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
    PLoS Genet 2:e190. 2006
    ..This means that we can predict the dataset size needed to detect structure...
  3. pmc Reconstructing Indian population history
    David Reich
    Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
    Nature 461:489-94. 2009
    ..We therefore predict that there will be an excess of recessive diseases in India, which should be possible to screen and map genetically...
  4. pmc Genes mirror geography within Europe
    John Novembre
    Department of Ecology and Evolutionary Biology, Interdepartmental Program in Bioinformatics, University of California Los Angeles, Los Angeles, California 90095, USA
    Nature 456:98-101. 2008
    ..In addition, the results are relevant to the prospects of genetic ancestry testing; an individual's DNA can be used to infer their geographic origin with surprising accuracy-often to within a few hundred kilometres...
  5. pmc The genetic structure and history of Africans and African Americans
    Sarah A Tishkoff
    Department of Biology, University of Maryland, College Park, MD 20742, USA
    Science 324:1035-44. 2009
    ..This study helps tease apart the complex evolutionary history of Africans and African Americans, aiding both anthropological and genetic epidemiologic studies...
  6. pmc A genealogical interpretation of principal components analysis
    Gil McVean
    Department of Statistics, University of Oxford, Oxford, United Kingdom
    PLoS Genet 5:e1000686. 2009
    ..Using examples from human genetics, I discuss the application of these results to empirical data and the implications for inference...
  7. ncbi Genesis: cluster analysis of microarray data
    Alexander Sturn
    Institute of Biomedical Engineering, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria
    Bioinformatics 18:207-8. 2002
    ..well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines...
  8. pmc Interpreting principal component analyses of spatial population genetic variation
    John Novembre
    Department of Human Genetics, University of Chicago, 920 E 58th Street, CLSC 5th floor, Chicago, Illinois 60637, USA
    Nat Genet 40:646-9. 2008
    Nearly 30 years ago, Cavalli-Sforza et al. pioneered the use of principal component analysis (PCA) in population genetics and used PCA to produce maps summarizing human genetic variation across continental regions...
  9. doi What is principal component analysis?
    Markus Ringner
    Markus Ringnér is in the Division of Oncology, Department of Clinical Sciences, Barngatan 2, Lund University, 221 85, Lund, Sweden
    Nat Biotechnol 26:303-4. 2008
  10. pmc Defining the healthy "core microbiome" of oral microbial communities
    Egija Zaura
    Department of Cariology, Academic Centre for Dentistry Amsterdam ACTA, University of Amsterdam and Free University Amsterdam, The Netherlands
    BMC Microbiol 9:259. 2009
    ..The aim of this study therefore was to define the healthy oral microbiome using recent advances in sequencing technology (454 pyrosequencing)...
  11. pmc Relationships between circulating metabolic intermediates and insulin action in overweight to obese, inactive men and women
    Kim M Huffman
    Physical Medicine and Rehabilitation, Veterans Affairs Medical Center, Durham, North Carolina, USA
    Diabetes Care 32:1678-83. 2009
    ..To determine whether circulating metabolic intermediates are related to insulin resistance and beta-cell dysfunction in individuals at risk for type 2 diabetes...
  12. pmc Microbial community resemblance methods differ in their ability to detect biologically relevant patterns
    Justin Kuczynski
    Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, USA
    Nat Methods 7:813-9. 2010
    ..These results also provide a basis for understanding tradeoffs between number of samples and depth of coverage, tradeoffs that are important to consider when designing studies to characterize microbial communities...
  13. pmc Genetic structure of Europeans: a view from the North-East
    Mari Nelis
    Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
    PLoS ONE 4:e5472. 2009
    ..Together with previously published data, our results allow the creation of a comprehensive European genetic map that will greatly facilitate inter-population genetic studies including genome wide association studies (GWAS)...
  14. pmc A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
    Daniela M Witten
    Department of Statistics, Stanford University, Stanford, CA 94305, USA
    Biostatistics 10:515-34. 2009
    ..We also establish connections between the SCoTLASS method for sparse principal component analysis and the method of Zou and others (2006)...
  15. ncbi Estimating the number of independent components for functional magnetic resonance imaging data
    Yi Ou Li
    Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, Maryland 21250, USA
    Hum Brain Mapp 28:1251-66. 2007
  16. ncbi Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder
    Chao Zhe Zhu
    State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, PR China
    Neuroimage 40:110-20. 2008
    ..We conclude that the classifier, using resting-state brain function as classification feature, has potential ability to improve current diagnosis and treatment evaluation of ADHD...
  17. ncbi A principal components regression approach to multilocus genetic association studies
    Kai Wang
    Department of Biostatistics, College of Public Health, The University of Iowa, Iowa City, IA 52242, USA
    Genet Epidemiol 32:108-18. 2008
    ..An application to CHI3L2 gene expression data confirms a significant association between CHI3L2 gene expression level and SNPs from this gene that has been previously reported by others...
  18. pmc A quantitative comparison of the similarity between genes and geography in worldwide human populations
    Chaolong Wang
    Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
    PLoS Genet 8:e1002886. 2012
    ..Our results provide a quantitative assessment of the geographic structure of human genetic variation worldwide, supporting the view that geography plays a strong role in giving rise to human population structure...
  19. ncbi Adjustment of systematic microarray data biases
    Monica Benito
    Department of Statistics and Econometrics, University of Carlos III, Madrid, Spain
    Bioinformatics 20:105-14. 2004
    ..These systematic effects present a substantial hurdle to the analysis of microarray data...
  20. pmc Interrogating local population structure for fine mapping in genome-wide association studies
    Huaizhen Qin
    Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
    Bioinformatics 26:2961-8. 2010
    ..Current association methods for correcting population stratification usually involve adjustment of global ancestry between study subjects...
  21. ncbi Tensorial extensions of independent component analysis for multisubject FMRI analysis
    C F Beckmann
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    Neuroimage 25:294-311. 2005
  22. ncbi Rumen bacterial diversity dynamics associated with changing from bermudagrass hay to grazed winter wheat diets
    Dipti W Pitta
    Texas AgriLife Research, Vernon, TX, USA
    Microb Ecol 59:511-22. 2010
    ..Overall, bermudagrass hay diets clustered more clearly than wheat diets.These data are the first to explore bacterial diversity dynamics in a common population of animals in response to contrasting grass forage diets...
  23. ncbi Testing association between disease and multiple SNPs in a candidate gene
    W James Gauderman
    Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA
    Genet Epidemiol 31:383-95. 2007
    ..We observe stronger evidence of an association using the PC approach (p = 0.044) than using either a genotype-based (p = 0.13) or haplotype-based (p = 0.052) approach...
  24. pmc Colloquium paper: genome-wide patterns of population structure and admixture among Hispanic/Latino populations
    Katarzyna Bryc
    Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14850, USA
    Proc Natl Acad Sci U S A 107:8954-61. 2010
    ..Intersecting these data with previously collected high-density SNP data from 4,305 individuals, we use principal component analysis and clustering methods FRAPPE and STRUCTURE to investigate genome-wide patterns of African, European, ..
  25. ncbi Gene expression profiling--Clusters of possibilities
    Anders Bergkvist
    MultiD Analyses AB, Gothenburg, Sweden
    Methods 50:323-35. 2010
    ..Techniques include hierarchical clustering, heatmap, principal component analysis and self-organizing maps...
  26. pmc A high-performance computing toolset for relatedness and principal component analysis of SNP data
    Xiuwen Zheng
    Department of Biostatistics, University of Washington, Seattle, WA 98195 7232, USA
    Bioinformatics 28:3326-8. 2012
    ..symmetric multiprocessing computer architectures) to accelerate two key computations on SNP data: principal component analysis (PCA) and relatedness analysis using identity-by-descent measures...
  27. ncbi MPCA: Multilinear Principal Component Analysis of Tensor Objects
    Haiping Lu
    Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada
    IEEE Trans Neural Netw 19:18-39. 2008
    This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction...
  28. pmc Comparison of mixed-model approaches for association mapping
    Benjamin Stich
    Institute for Plant Breeding, Seed Science, and Poulation Genetics, University of Hohenheim, Stuttgart, Germany
    Genetics 178:1745-54. 2008
  29. ncbi Independent component analysis of fMRI group studies by self-organizing clustering
    Fabrizio Esposito
    Second Division of Neurology, Second University of Naples, Italy
    Neuroimage 25:193-205. 2005
    ..This property is particularly of interest for a blind group and subgroup pattern extraction and selection...
  30. pmc Population structure and genetic diversity in a commercial maize breeding program assessed with SSR and SNP markers
    Delphine Van Inghelandt
    Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70593, Stuttgart, Germany
    Theor Appl Genet 120:1289-99. 2010
  31. ncbi Software news and updates. Carma: a molecular dynamics analysis program
    Nicholas M Glykos
    Department of Molecular Biology and Genetics, Democritus University of Thrace, Dimitras 19, 68100 Alexandroupoli, Greece
    J Comput Chem 27:1765-8. 2006
    ..standard deviations, calculation of the variance-covariance and cross-correlation matrices, and principal component analysis of trajectories with the added ability to create artificial trajectories based on selected eigenvectors...
  32. pmc Reconfiguration of the achene and receptacle metabolic networks during strawberry fruit development
    Aaron Fait
    Abteilung Willmitzer, Max Planck Institut fur Molekulare Pflanzenphysiologie, Potsdam Golm, Germany
    Plant Physiol 148:730-50. 2008
    ..The data are discussed within the context of current models both of the interaction of primary and secondary metabolism and of the metabolic interaction between the different plant organs...
  33. ncbi Revealing cryptic spatial patterns in genetic variability by a new multivariate method
    T Jombart
    Laboratoire de Biometrie et Biologie Evolutive, UMR CNRS 5558, Universite de Lyon, Universite Lyon 1, Villeurbanne Cedex, France
    Heredity (Edinb) 101:92-103. 2008
    ..In this paper we propose a new spatially explicit multivariate method, spatial principal component analysis (sPCA), to investigate the spatial pattern of genetic variability using allelic frequency data of ..
  34. pmc The influence of natural barriers in shaping the genetic structure of Maharashtra populations
    Kumarasamy Thangaraj
    Centre for Cellular and Molecular Biology, Hyderabad, India
    PLoS ONE 5:e15283. 2010
    ..The genetic origin of populations living in this state is poorly understood and hitherto been described at low molecular resolution level...
  35. ncbi The AtGenExpress global stress expression data set: protocols, evaluation and model data analysis of UV-B light, drought and cold stress responses
    Joachim Kilian
    Zentrum für Molekularbiologie der Pflanzen, Pflanzenphysiologie, Universitat Tubingen, Auf der Morgenstelle 1, 72076 Tubingen, Germany
    Plant J 50:347-63. 2007
    ..In summary, the information reported provides a prime reference point and source for the subsequent exploitation of this important resource for research into plant abiotic stress...
  36. ncbi Independent component analysis-based penalized discriminant method for tumor classification using gene expression data
    De Shuang Huang
    Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences PO Box 1130, Hefei, Anhui 230031, China
    Bioinformatics 22:1855-62. 2006
    ..So, modification of existing statistical methodologies or development of new methodologies is needed for the analysis of microarray data...
  37. ncbi African pastoralism: genetic imprints of origins and migrations
    Olivier Hanotte
    International Livestock Research Institute, Post Office Box 30709, Nairobi, Kenya
    Science 296:336-9. 2002
    ..The B. indicus genetic influence shows a major entry point through the Horn and the East Coast of Africa and two modes of introgression into the continent...
  38. pmc Population genetic structure of the people of Qatar
    Haley Hunter-Zinck
    Program in Computational Biology and Medicine, Cornell University, Ithaca, NY 14850, USA
    Am J Hum Genet 87:17-25. 2010
  39. ncbi pcaMethods--a bioconductor package providing PCA methods for incomplete data
    Wolfram Stacklies
    CAS MPG Partner Institute for Comp Biology, Shanghai, China
    Bioinformatics 23:1164-7. 2007
    pcaMethods is a Bioconductor compliant library for computing principal component analysis (PCA) on incomplete data sets...
  40. pmc Automatic independent component labeling for artifact removal in fMRI
    Jussi Tohka
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Neuroimage 39:1227-45. 2008
    ..We conclude that automatic ICA-based denoising offers a potentially useful approach to improve the quality of fMRI data and consequently increase the accuracy of the statistical analysis of these data...
  41. pmc Principal component analysis of native ensembles of biomolecular structures (PCA_NEST): insights into functional dynamics
    Lee Wei Yang
    University of Tokyo, Institute of Molecular and Cellular Bioscience, Tokyo, Japan
    Bioinformatics 25:606-14. 2009
  42. pmc Global transcriptome and deletome profiles of yeast exposed to transition metals
    Yong Hwan Jin
    Nicholas School of the Environment and Earth Sciences, Duke University, Durham, North Carolina, United States of America
    PLoS Genet 4:e1000053. 2008
  43. pmc Neuronal assembly detection and cell membership specification by principal component analysis
    Vítor Lopes-Dos-Santos
    Brain Institute, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
    PLoS ONE 6:e20996. 2011
    ..The results indicate that the PCA method presented here is able to properly detect, track and specify neuronal assemblies, irrespective of overlapping membership...
  44. pmc European population genetic substructure: further definition of ancestry informative markers for distinguishing among diverse European ethnic groups
    Chao Tian
    Rowe Program in Human Genetics, Departments of Biochemistry and Medicine, University of California Davis, Davis, California 95616, USA
    Mol Med 15:371-83. 2009
  45. pmc Principal component analysis of dietary and lifestyle patterns in relation to risk of subtypes of esophageal and gastric cancer
    Stephanie A Navarro Silvera
    Montclair State University, Department of Health and Nutrition Sciences, Montclair, NJ 07043, USA
    Ann Epidemiol 21:543-50. 2011
    ..To carry out pattern analyses of dietary and lifestyle factors in relation to risk of esophageal and gastric cancers...
  46. ncbi Quantitative trait loci mapping of floral and leaf morphology traits in Arabidopsis thaliana: evidence for modular genetic architecture
    Thomas Juenger
    Section of Integrative Biology and Institute for Cellular and Molecular Biology, University of Texas at Austin C0930, Austin, TX 78712, USA
    Evol Dev 7:259-71. 2005
    ..Only two genomic locations affected both flower and leaf growth. These results are discussed in the context of the evolution of modules, pleiotropy, and the putative homologous relationship between leaves and flowers...
  47. ncbi Metabonomic study of Chinese medicine Shuanglong formula as an effective treatment for myocardial infarction in rats
    Xiaoping Liang
    School of Pharmaceutics, East China University of Science and Technology, PR China
    J Proteome Res 10:790-9. 2011
    ..The shifts in urinary TCA cycle as well as pentose phosphate pathway suggested that SLF may diminish cardiac injury of MI with its potential pharmacological effect in the regulation of myocardial energy metabolism...
  48. pmc Mitochondrial and Y-chromosome diversity of the Tharus (Nepal): a reservoir of genetic variation
    Simona Fornarino
    Dipartimento di Genetica e Microbiologia, Universita di Pavia, Pavia, Italy
    BMC Evol Biol 9:154. 2009
    ..Until now, however, investigations on their genetic structure have been scarce mainly identifying East Asian signatures...
  49. ncbi Quantitative morphological study of microglial cells in the ischemic rat brain using principal component analysis
    Z Soltys
    Department of Neuroanatomy, Institute of Zoology, Jagiellonian University, 6 Ingardena St, 30 060 Cracow, Poland
    J Neurosci Methods 146:50-60. 2005
    ..Then the resultant data were processed using principal component analysis (PCA)...
  50. ncbi Dihedral angle principal component analysis of molecular dynamics simulations
    Alexandros Altis
    Institute of Physical and Theoretical Chemistry, J W Goethe University, Max von Laue Strasse 7, D 60438 Frankfurt, Germany
    J Chem Phys 126:244111. 2007
    ..Proteins 58, 45 (2005)] to use backbone dihedral angles instead of Cartesian coordinates in a principal component analysis of molecular dynamics simulations...
  51. ncbi A geometric morphometric analysis of heterochrony in the cranium of chimpanzees and bonobos
    Daniel E Lieberman
    Peabody Museum, Harvard University, Cambridge, MA 02138, USA
    J Hum Evol 52:647-62. 2007
  52. ncbi Free-energy landscape, principal component analysis, and structural clustering to identify representative conformations from molecular dynamics simulations: the myoglobin case
    Elena Papaleo
    Department of Biotechnology and Bioscience, University of Milano Bicocca, 20126 Milan, Italy
    J Mol Graph Model 27:889-99. 2009
  53. pmc Population structure and genome-wide patterns of variation in Ireland and Britain
    Colm T O'Dushlaine
    Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College, Dublin, Ireland
    Eur J Hum Genet 18:1248-54. 2010
    ..These results are consistent with our understanding of the population history of Europe and promote Ireland and Scotland as relatively homogenous resources for genetic mapping of rare variants...
  54. pmc Pathway-based analysis for genome-wide association studies using supervised principal components
    Xi Chen
    Division of Cancer Biostatistics, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
    Genet Epidemiol 34:716-24. 2010
    ..We propose a new pathway-based analysis method for GWAS, the supervised principal component analysis (SPCA) model...
  55. ncbi Discovering genetic ancestry using spectral graph theory
    Ann B Lee
    Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
    Genet Epidemiol 34:51-9. 2010
    ..Ancestry is commonly estimated using the eigenvectors derived from principal component analysis (PCA)...
  56. ncbi Multivariate analysis of heavy metal contamination in urban dusts of Xi'an, Central China
    Han Yongming
    Department of Earth Sciences and Land Resources, Chang an University, Xi an 710054, China
    Sci Total Environ 355:176-86. 2006
    ..These concentration levels are comparable to those in other studies. Correlation coefficient analysis, principal component analysis (PCA) and cluster analysis (CA) were performed and three main sources with corresponding cluster ..
  57. ncbi Genome-wide single nucleotide polymorphisms reveal population history and adaptive divergence in wild guppies
    Eva Maria Willing
    Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen D72076, Germany
    Mol Ecol 19:968-84. 2010
    ..Results from three different clustering methods, Neighbor-net, principal component analysis (PCA) and Bayesian analysis show that the population substructure agrees with geographic separation and ..
  58. ncbi Genetic markers in the playground of multivariate analysis
    T Jombart
    Universite de Lyon, Lyon, France
    Heredity (Edinb) 102:330-41. 2009
    Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers...
  59. pmc Gene and metabolite regulatory network analysis of early developing fruit tissues highlights new candidate genes for the control of tomato fruit composition and development
    Fabien Mounet
    INRA UMR 619 Biologie du Fruit, Centre de Bordeaux, F 33140 Villenave d Ornon, France
    Plant Physiol 149:1505-28. 2009
  60. pmc Genetic variation and recent positive selection in worldwide human populations: evidence from nearly 1 million SNPs
    David López Herráez
    Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
    PLoS ONE 4:e7888. 2009
    ..Moreover, genome-wide data can be used to search for signals of recent positive selection, thereby providing new insights into the genetic adaptations that occurred as modern humans spread out of Africa and around the world...
  61. pmc Investigating the behavioral and self-report constructs of impulsivity domains using principal component analysis
    Shashwath A Meda
    Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut 06106, USA
    Behav Pharmacol 20:390-9. 2009
    ..In addition, our supplemental analysis also suggested that the impulsivity constructs were largely, but not entirely the same within the healthy and ARA groups...
  62. ncbi A sliding time-window ICA reveals spatial variability of the default mode network in time
    Vesa Kiviniemi
    Department of Diagnostic Radiology, Oulu University Hospital, Finland
    Brain Connect 1:339-47. 2011
    ..In conclusion, SliTICA shows marked spatial variance of DMN activity in time, which may offer a more comprehensive measurement of the overall functional activity of a network...
  63. pmc An overview of the genetic structure within the Italian population from genome-wide data
    Cornelia Di Gaetano
    Department of Genetics, Biology and Biochemistry, University of Turin, Turin, Italy
    PLoS ONE 7:e43759. 2012
    ..We showed by using Principal Component analysis and model-based individual ancestry analysis, that the current population of Sardinia can be clearly ..
  64. ncbi Patterns of covariation in the masticatory apparatus of hystricognathous rodents: implications for evolution and diversification
    Lionel Hautier
    Museum of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
    J Morphol 273:1319-37. 2012
  65. ncbi Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM
    Shengli Zhang
    Department of Mathematics, Xidian University, Xi an, P R China
    J Biomol Struct Dyn 29:634-42. 2012
    ..Comparison of our results with other methods shows that the proposed method by us is very promising and may provide a cost-effective alternative to predict protein structural class in particular for low-similarity data-sets...
  66. ncbi Convergence and remarkably consistent constraint in the evolution of carnivore skull shape
    Stephen Wroe
    School of Biological, Earth, and Environmental Sciences, The University of New South Wales, Sydney, Australia
    Evolution 61:1251-60. 2007
  67. ncbi Shoe midsole hardness, sex and age effects on lower extremity kinematics during running
    Benno M Nigg
    Human Performance Laboratory HPL, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
    J Biomech 45:1692-7. 2012
    ..Participants ran at 3.33±0.15 m/s on a 30 m-long runway with soft, medium and hard midsoles. A principal component analysis combined with a support vector machine showed that running kinematics based on shoe midsole hardness, ..
  68. ncbi Responses of calves to acute stress: individual consistency and relations between behavioral and physiological measures
    Cornelis G van Reenen
    Animal Sciences Group of Wageningen University and Research Centre WUR, P O Box 65, 8200 AB, Lelystad, The Netherlands
    Physiol Behav 85:557-70. 2005
    ..b>Principal component analysis (PCA) was used to condense correlated measures within ages into principal components reflecting ..
  69. pmc Gene- or region-based association study via kernel principal component analysis
    Qingsong Gao
    Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, China
    BMC Genet 12:75. 2011
    ..Kernel principal component analysis combined with logistic regression test (KPCA-LRT) has been successfully used in classifying gene ..
  70. ncbi Genetic diversity in tetraploid switchgrass revealed by AFLP marker polymorphisms
    J Todd
    Department of Plant and Soil Sciences, Oklahoma State University, OK, USA
    Genet Mol Res 10:2976-86. 2011
    ..The trnL marker confirmed that TN104 was a lowland genotype, but the trnL marker identification of upland and lowland genotypes was not consistent with the AFLP analysis in two germplasms (Miami and AR4)...
  71. ncbi Discrimination of gender-, speed-, and shoe-dependent movement patterns in runners using full-body kinematics
    Christian Maurer
    Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
    Gait Posture 36:40-5. 2012
    Changes in gait kinematics have often been analyzed using pattern recognition methods such as principal component analysis (PCA)...
  72. ncbi Application of principal component analysis to pharmacogenomic studies in Canada
    H Visscher
    Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
    Pharmacogenomics J 9:362-72. 2009
    ..We evaluated the application of principal component analysis (PCA) in a pharmacogenomic study in Canada to detect and correct for genetic ancestry differences using ..
  73. ncbi Metabonomics study of brain-specific human S100B transgenic mice by using high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry
    Jia Lin Liu
    Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Key Laboratory of Human Disease Animal Model, State Administration of Traditional Chinese Medicine, Beijing, P R China
    Biol Pharm Bull 34:871-6. 2011
    ..Acquired data were subjected to principal component analysis (PCA) to investigate the effects of S100B protein on mice mesencephalon metabolite profiles...
  74. ncbi Feature constrained compressed sensing CT image reconstruction from incomplete data via robust principal component analysis of the database
    Dufan Wu
    Department of Engineering Physics, Tsinghua University, Beijing, 100084, People s Republic of China
    Phys Med Biol 58:4047-70. 2013
    ..Robust principal component analysis is employed to retrieve features of the training images to sparsify the target image...
  75. ncbi Shape, variance and integration during craniogenesis: contrasting marsupial and placental mammals
    A Goswami
    Department of Genetics, Evolution and Environment, University College London, London, UK
    J Evol Biol 25:862-72. 2012
    ..Our results suggest that high integration of the oral region combined with functional constraints for suckling during early postnatal ontogeny may drive the stagnant variance observed in Monodelphis and potentially other marsupials...
  76. ncbi Fully automated reduction of ocular artifacts in high-dimensional neural data
    John W Kelly
    Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
    IEEE Trans Biomed Eng 58:598-606. 2011
    ..Through this evaluation, the novel adaptation of wavelet thresholding is shown to produce superior reduction of ocular artifacts when compared to regression, principal component analysis, and ICA.
  77. ncbi Principal component analysis, hierarchical clustering, and decision tree assessment of plasma mRNA and hormone levels as an early detection strategy for small intestinal neuroendocrine (carcinoid) tumors
    Irvin M Modlin
    Department of Gastroenterological Surgery, Yale University School of Medicine, New Haven, CT 06520 8062, USA
    Ann Surg Oncol 16:487-98. 2009
    ..Including NET-related circulating hormones and growth factors in the algorithm increased the sensitivity of detection of SI-NETs from 58 to 82%...
  78. ncbi Metabolic signatures of lung cancer in biofluids: NMR-based metabonomics of urine
    Joana Carrola
    CICECO, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810 193 Aveiro, Portugal
    J Proteome Res 10:221-30. 2011
    ..resolution ¹H NMR (500 MHz), and their spectral profiles subjected to multivariate statistics, namely, Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Orthogonal Projections to Latent ..
  79. ncbi Differential Y-chromosome Anatolian influences on the Greek and Cretan Neolithic
    R J King
    Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA 94305 5722, USA
    Ann Hum Genet 72:205-14. 2008
  80. pmc Y-chromosome variation in Altaian Kazakhs reveals a common paternal gene pool for Kazakhs and the influence of Mongolian expansions
    Matthew C Dulik
    Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
    PLoS ONE 6:e17548. 2011
    ..In addition, all of them showed evidence of genetic influence by the 13(th) century CE Mongol Empire. Ultimately, the social and cultural traditions of the Kazakhs shaped their current pattern of genetic variation...
  81. ncbi Identification of distinct characteristics of postural sway in Parkinson's disease: a feature selection procedure based on principal component analysis
    Laura Rocchi
    Department of Electronics, Computer Science and Systems, University of Bologna, Italy
    Neurosci Lett 394:140-5. 2006
    ..of the centre of pressure (CoP) displacement in quiet standing, by means of a procedure based on principal component analysis, in two groups particularly different in terms of postural behaviours, such as subjects with Parkinson'..
  82. ncbi Dietary patterns and ethnicity are associated with distinct plasma proteomic groups
    Bibiana Garcia-Bailo
    Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Canada
    Am J Clin Nutr 95:352-61. 2012
    ..However, little is known about how concentrations of many plasma proteins vary between individuals from different ethnocultural groups with different dietary habits...
  83. pmc Artifact due to differential error when cases and controls are imputed from different platforms
    Jennifer A Sinnott
    Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
    Hum Genet 131:111-9. 2012
    ..Every SNP found with genome-wide significance should be validated on another platform to verify that its significance is not an artifact of study design...
  84. pmc Why is there a lack of consensus on molecular subgroups of glioblastoma? Understanding the nature of biological and statistical variability in glioblastoma expression data
    Nicholas F Marko
    Department of Neurosurgery and Brain Tumor and Neuro Oncology Center, Cleveland Clinic, Cleveland, Ohio, United States of America
    PLoS ONE 6:e20826. 2011
    ..We seek to clarify the nature and relative contributions of these factors, to focus additional investigations, and to improve the accuracy and consistency of translational glioblastoma analyses...
  85. pmc A cross-modal system linking primary auditory and visual cortices: evidence from intrinsic fMRI connectivity analysis
    Mark A Eckert
    Department of Otolaryngology, Medical University of South Carolina, Charleston, South Carolina 29425, USA
    Hum Brain Mapp 29:848-57. 2008
    ..Our study provides novel, fcMRI-based, support for a neural system involving low-level auditory and visual cortices...
  86. pmc Comparative analysis of the volatile fraction of fruit juice from different Citrus species
    M Carmen González-Mas
    Centro de Citricultura, Instituto Valenciano de Investigaciones Agrarias, Moncada, Valencia, Spain
    PLoS ONE 6:e22016. 2011
    ..This volatile profiling platform for Citrus juice by HS-SPME-GC-MS and the interrelationship detected among the volatiles can be used as a roadmap for future breeding or biotechnological applications...
  87. ncbi Structural comparison of F1-ATPase: interplay among enzyme structures, catalysis, and rotations
    Kei Ichi Okazaki
    Department of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606 8502, Japan
    Structure 19:588-98. 2011
    ..Finally, calculating the helix 6 angle of β, we identified the recently observed partially closed conformation being consistent with β(HC)...
  88. ncbi Two-dimensional PCA: a new approach to appearance-based face representation and recognition
    Jian Yang
    Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong
    IEEE Trans Pattern Anal Mach Intell 26:131-7. 2004
    In this paper, a new technique coined two-dimensional principal component analysis (2DPCA) is developed for image representation...
  89. ncbi Applications of mass spectrometry to metabolomics and metabonomics: detection of biomarkers of aging and of age-related diseases
    Robert J Mishur
    Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78245, USA
    Mass Spectrom Rev 31:70-95. 2012
  90. pmc Principal component analysis based methods in bioinformatics studies
    Shuangge Ma
    60 College St, LEPH 209, School of Public Health, Yale University, New Haven, CT 06520, USA
    Brief Bioinform 12:714-22. 2011
    ..b>Principal component analysis (PCA) is a classic dimension reduction approach...
  91. pmc A principal component analysis of 39 scientific impact measures
    Johan Bollen
    Digital Library Research and Prototyping Team, Research Library, Los Alamos National Laboratory, Los Alamos, NM, USA
    PLoS ONE 4:e6022. 2009
    ..Here we investigate how these new measures relate to each other, and how accurately and completely they express scientific impact...
  92. ncbi Principal component and normal mode analysis of proteins; a quantitative comparison using the GroEL subunit
    Lars Skjaerven
    Department of Biomedicine, University of Bergen, Jonas Lies vei 91, N 5009 Bergen, Norway
    Proteins 79:232-43. 2011
    b>Principal component analysis (PCA) and normal mode analysis (NMA) have emerged as two invaluable tools for studying conformational changes in proteins...
  93. pmc Whole-genome genetic diversity in a sample of Australians with deep Aboriginal ancestry
    Brian P McEvoy
    Queensland Institute of Medical Research, Brisbane, Queensland 4006, Australia
    Am J Hum Genet 87:297-305. 2010
  94. pmc Genome-wide insights into the patterns and determinants of fine-scale population structure in humans
    Shameek Biswas
    Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
    Am J Hum Genet 84:641-50. 2009
  95. ncbi Twin study indicates loss of interaction between microbiota and mucosa of patients with ulcerative colitis
    Patricia Lepage
    Institute of Clinical Molecular Biology, Christian Albrechts University Kiel, Kiel, Germany
    Gastroenterology 141:227-36. 2011
    ..We analyzed the interaction between gastrointestinal mucosal microbiota and host genes in twin pairs discordant for ulcerative colitis (UC) to study the functional interaction between microbiota and mucosal epithelium...
  96. ncbi A mitochondrial revelation of early human migrations to the Tibetan Plateau before and after the last glacial maximum
    Zhendong Qin
    State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai 200433, China
    Am J Phys Anthropol 143:555-69. 2010
  97. ncbi In situ proteomics with imaging mass spectrometry and principal component analysis in the Scrapper-knockout mouse brain
    Ikuko Yao
    Mitsubishi Kagaku Institute of Life Sciences MITILS, Machida, Tokyo, Japan
    Proteomics 8:3692-701. 2008
    ..By imaging MS analysis based on principal component analysis (PCA), we could find numerous alterations in the KO mouse brain...
  98. ncbi Ancestry informative markers for fine-scale individual assignment to worldwide populations
    Peristera Paschou
    Department of Molecular Biology and Genetics, Democritus University of Thrace, Panepistimioupoli, Dragana, Ktirio 8, Alexandroupoli 68100, Greece
    J Med Genet 47:835-47. 2010
  99. ncbi Conformational regulation of the EGFR kinase core by the juxtamembrane and C-terminal tail: a molecular dynamics study
    Morad Mustafa
    Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, Georgia 30602, USA
    Proteins 79:99-114. 2011
    ..and targeted molecular dynamics simulations on the active and inactive states of EGFR, followed by principal component analysis on the simulated trajectories, to identify correlated motions in the EGFR kinase domain upon ..
  100. ncbi Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms
    Yanli Lu
    International Maize and Wheat Improvement Center CIMMYT, km 45, Carretera, Mexico Veracruz, El Batan, Texcoco, Mexico
    Theor Appl Genet 120:93-115. 2009
    ..These results confirm the power of SNP markers for diversity analysis and provide a feasible approach to unique allele discovery and use in maize breeding programs...
  101. ncbi Tri-dimensional and triphasic muscle organization of whole-body pointing movements
    E Chiovetto
    Italian Institute of Technology, Via Morego 30, 16163 Genoa, Italy
    Neuroscience 170:1223-38. 2010
    ..The present findings link together, in a hierarchical view of motor control, the joint coordination characterizing whole-body pointing movements with a basic muscle synergistic organization, namely a triphasic pattern...

Research Grants62

  1. Child Abuse, HIV Risks and Reproductive Outcomes
    Tamra Loeb; Fiscal Year: 2005
    ..The CSASI will be developed using Principal Component Analysis to assess the differential effects of each CSA dimension on adverse outcomes...
  2. Genetic analysis fo metabolic syndrome by admixture mapping in African Americans
    Ludmila Pawlikowska; Fiscal Year: 2012
    ..We will perform admixture mapping for the following quantitative traits, individually and after principal component analysis: abdominal fat, obesity, fasting glucose and insulin, triglycerides, HDL and LDL cholesterol, serum ..
  3. Quantitative Analysis of Chemotactic Motility Cycle of Ameboid Cells
    JUAN CARLOS LASHERAS; Fiscal Year: 2013
    ..We will apply conditional statistics and Principal Component Analysis (PCA) to connect specific biochemical processes to each of the physical events in the motility cycle...
  4. Prognostic and predictive gene sets in HER2-positive breast cancer:The HERA Trial
    Brian Leyland Jones; Fiscal Year: 2010
    ..A variation of supervised principal component analysis will be used for identifying differential treatment effect and developing a predictive model...
  5. Identification of Responders to the FES Interventions in Stroke Population
    Rakesh Pilkar; Fiscal Year: 2013
    ..Finally, we will employ Principal Component Analysis (PCA) - an advanced data mining technique to track and quantify the overall gait recovery process of ..
  6. Policy and Demographic Predictors of Medicaid Take-Up Among Non-Elderly Adults
    Benjamin D Sommers; Fiscal Year: 2010
    ..b>Principal component analysis will be used to consolidate the numerous administrative policies related to Medicaid enrollment and ..
  7. Statistical and Computational Tools for Next-generation ChIP-seq Applications
    Hongkai Ji; Fiscal Year: 2013
    ..This method, Generalized Differential Principal Component Analysis (dPCA/GDPCA), integrates unsupervised pattern discovery, dimension reduction and statistical inference ..
  8. Feasibility study: endoscopic surface-enhanced Raman spectroscopy (SERS) for in s
    Martin Feldman; Fiscal Year: 2013
    ..A mixture of molecules with various mixing ratio will be examined also with a SERS probe and the principal component analysis to assess the accuracy of the method.
  9. Identification Of Susceptibility Genes For SLE Of Amerindian Origin In Hispanics
    Marta E Alarcon Riquelme; Fiscal Year: 2010
    ..Using whole-genome data, we will define the admixture through principal component analysis and the Amerindian contribution to the genetic risk for lupus...
  10. Gene Networks for Prostate Cancer Progression
    Leif Peterson; Fiscal Year: 2005
    ..Microarray data analysis will include fold-change analysis, cluster analysis, and principal component analysis to identify (a) unique patterns of expression (strongly up or downregulated), and (b) genes that are co-..
  11. Segmentation and volumetric quantification of thalamic nuclei for assessing MS
    Jerry L Prince; Fiscal Year: 2013
    ..An exploratory principal component analysis of multiple thalamic nuclear volumes will be carried out to look for patterns of atrophy and their ..
  12. Biomarker Discovery for Hepatitis C Progression using Machine Learning Techniques
    Heidi Spratt; Fiscal Year: 2012
    ..We will use classical methods of data analysis such as principal component analysis, hierarchical clustering, neural networks, and logistic regression to create our first order biomarker ..
  13. Posture and Orientation in Older Adults and Post-Stroke
    EMILY KESHNER; Fiscal Year: 2009
    ..Visual field dependence will be measured with a Rod and Frame test. We will employ novel methods of Principal Component Analysis and autoregressive modeling to distinguish between body mechanics and specified neural processes...
  14. High-Dimensional Data Issues in Aging Research
    Bin Nan; Fiscal Year: 2013
    ..We consider functional linear regression models and functional principal component analysis for imaging data to achieve sparse group effects...
  15. Respiratory Motion-Reduced Cone-Beam CT Guidance of Radiotherapy in Lung &Liver
    Gikas S Mageras; Fiscal Year: 2012
    ..An important component of the model is a principal component analysis that reduces the high-dimensional complex data set to a lower dimension by removing noise and ..
  16. Genome-wide Case-control Association Study of Pancreatic Cancer in Jews
    ..We will use the program Eigensoft (v.3.0) to conduct a principal component analysis that will genetically identify Jewish subjects among other racial/ethnic groups...
  17. Systems biology approach to optimize tissue growth in vitro
    Robert T Tranquillo; Fiscal Year: 2011
    ..2004) based on principal component analysis and discriminate partial least squares regression that we will extend to determine a statistical ..
  18. Vibrational Photoacoustic Microscopy for Bond-selective Tissue Analysis
    Ji Xin Cheng; Fiscal Year: 2011
    ..Towards diagnosis of diseases such as atherosclerosis, VPA spectroscopy aided with principal component analysis should allow determination of lesion stages owing to the capability of identifying different ..
  19. Vibrational Photoacoustic Microscopy for Bond-selective Tissue Analysis
    Ji Xin Cheng; Fiscal Year: 2013
    ..Towards diagnosis of diseases such as atherosclerosis, VPA spectroscopy aided with principal component analysis should allow determination of lesion stages owing to the capability of identifying different ..
  20. Statistical methods for assessing copy number variation in SNP arrays
    Robert B Scharpf; Fiscal Year: 2012
    ..For instance, we expect that extensions of segmentation methods and principal component analysis will benefit the study of cancer genomes...
  21. Electrically-connected plasmonic metamaterials for capture and detection of CTC
    Gennady Shvets; Fiscal Year: 2013
    ..Spectroscopic data sets will be analyzed using principal component analysis to differentiate between different target cells and to detect their spatial location...
  22. The Effect of Wrist Motion on Pattern-Recognition-Based Myoelectric Control
    ADENIKE A ADEWUYI; Fiscal Year: 2013
    ..In this study, we will use principal component analysis to describe how wrist kinematics affect the properties of EMG from the extrinsic muscles...
    Harold A Scheraga; Fiscal Year: 2013
    ..of very large single-chain and oligomeric proteins and their complexes, and develop tools, based on Principal Component Analysis (PCA) for the analysis of mesoscopic-dynamics trajectories...
    Wenjiang Fu; Fiscal Year: 2001
    ..A new statistical methodology is developed through eigen-analysis, principal component analysis, shrinkage models and reduce models with bias correction methods...
  25. Continued Development of Protein Dynamics Software ProDy
    Ivet Bahar; Fiscal Year: 2013
    ..Our recent work showed that functional changes in structure may be inferred from the principal component analysis (PCA) of these datasets. We also developed a PCA server (PCA_NEST) for analyzing NMR models...
    KARAMJIT RAI; Fiscal Year: 1991
    ..S. populations and to genetically characterize the same. UPGMA clustering and principal component analysis of DNA amounts and allele frequency data will be used to differentiate populations into subsets...
  27. Diagnosis of Crystalopathies via Raman Spectroscopy
    Ozan Akkus; Fiscal Year: 2006
    ..attempt to lower the identification thresholds by employing surf ace-enhanced Raman spectroscopy and by principal component analysis of the spectral data...
  28. Unintended muscle activity influences on post-stroke locomotion
    CITLALI LOPEZ ORTIZ; Fiscal Year: 2007
    ..We will use principal component analysis on electromyograms of 16 lower limb muscles bilaterally to identify groups of active muscles in post-..
  29. A Model System for HIV Multi-Drug Therapy Design
    Chen Chen Kan; Fiscal Year: 2003
    ..This model uses methods similar to principal component analysis to calculate orthogonal vectors in "drug efficacy space"...
  30. 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...
  31. Development of a Universal Calibration Method for a Noninvasive Glucometer
    ROBERT PEURA; Fiscal Year: 2009
    ..The proposed new universal model uses a classification method based upon principal component analysis with a simulated annealing and a Metropolis algorithm...
  32. Mechanisms of DNA Polymerases
    Tamar Schlick; Fiscal Year: 2007
    ..dynamics simulations and novel methodologies (transition path sampling, stochastic path approach, principal component analysis, and mixed quantum-classical mechanics methods) and an iterative design between theory and ..
    James Theiler; Fiscal Year: 1992, which is based on the identification of good features through nonlinear generalizations of principal component analysis, and the construction of nonlinear mappings using nonparametric techniques such as local approximation...
  34. A Virtual Reality Environment for Genomic Data Visualization
    Fatima Merchant; Fiscal Year: 2007
    ..provide the investigator the option to select among a number of data projection techniques, including principal component analysis (PCA), linear discriminant analysis (LDA), singular value decomposition (SVD), multi-dimensional ..
  35. Content based neuro image classification
    Usha Sinha; Fiscal Year: 2004
    ..This proposal details an innovative method to accomplish image classification based on principal component analysis. A training set of images classified by experts will be used to generate a basis set of images that ..
    ALAN LEGATT; Fiscal Year: 1991
    ..Estimated generator waveforms will be defined by principal component analysis of surface topographic mappings with rotation of the factors, and examined in normal subjects and in ..
  37. Non-Invasive System for Identifying Neural Behavior
    Carlo De Luca; Fiscal Year: 2009
    ..algorithm development using artificial intelligence technology of our own design combined with Principal Component Analysis techniques;and 3) data acquisition/processing software and hardware to build a portable prototype ..
  38. Air Pollution Exposure/Atherosclerosis:Vascular Mechanism
    Sanjay Rajagopalan; Fiscal Year: 2007
    ..b>Principal component analysis will be performed to elucidate which source-related components are most closely associated with ..
  39. Spectromicroscopy for biochemical analysis of sperm
    Chris Jacobsen; Fiscal Year: 2004
    ..expected and possibly unexpected spatial correlations between components will be studied using principal component analysis methods...
  40. Multispectral Optical Tissue Imager for Skin
    GILBERTO ZAMORA; Fiscal Year: 2004
    ..Such tools include Principal Component Analysis (PCA) and Blind Source Separation (BSS)...
    Ehud Kaplan; Fiscal Year: 2002
    ..The data will be analyzed with extensions of Principal Component Analysis that we have developed...
    W Neely; Fiscal Year: 1999
    ..of high dimensional data which offers substantial improvements over existing methods such as Principal Component Analysis. Unfortunately, Projection Pursuit is currently available only in platform-dependent software requiring ..
  43. Recording/Stimulation of Stepping in Spinal Cord L1-l2
    JACK JUDY; Fiscal Year: 2005
    ..Using principal component analysis and independent component analysis, we will characterize the overall neural activity and identify ..
  44. Sono-Contrast Induced Functional Imaging/Spectroscopy
    Yan Yu; Fiscal Year: 2004
    ..b>Principal component analysis neural networks (PCANN) will be used in data analysis/correlation, leading to definitively tests of the ..
  45. Sono-Contrast Induced Functional Imaging/Spectroscopy
    Yan Yu; Fiscal Year: 2007
    ..b>Principal component analysis neural networks (PCANN) will be used in data analysis/correlation, leading to definitively tests of the ..
  46. ERP dynamics of Language Learning Impaired Children
    STEPAN KRUGLIKOV; Fiscal Year: 2003
    ..Standard peak analysis and newer analytical methods such as principal component analysis (PCA) and independent component analysis (ICA) will be used to analyze the EEG data...
    Wensheng Guo; Fiscal Year: 2002
    ..density matrix, coherences, and phase spectra of a multivariate random process; (3) time-frequency principal component analysis; (4) time-frequency filters; (5) cycle-spinning to reduce bias due to the dyadic structure of our ..
  48. Identifying drug toxicity signatures using QCarrays
    Steven Nye; Fiscal Year: 2005
    ..Matarray software will QC and normalize array data while principal component analysis will cluster expression patterns according to clinical chemistry, to help to determine informative DTSs...
  49. Ethnic Differences in Responses to Painful Stimuli
    Roger Fillingim; Fiscal Year: 2006
    ..The results of this research will provide unique and important information regarding ethnic differences in pain responses. ..
    John Richards; Fiscal Year: 2006
  51. Cognitive Brain Activity: Aging and Dementia
    Robert Chapman; Fiscal Year: 2007
    ..Multivariate statistics are used to measure the ERP components and to develop functions that discriminate among the subject groups and predict AD among the MCI patients. [unreadable] [unreadable]..
  52. SVM based group data analysis for drug abuse disorder ASL perfusion study
    Ze Wang; Fiscal Year: 2007
    ..unreadable] [unreadable] [unreadable]..
  53. Quantitative Modeling of Speech
    Brad H Story; Fiscal Year: 2010
  54. Sex-Related Genetic Influences on Pain and Analgesia
    Roger Fillingim; Fiscal Year: 2009
  55. Dentin/Adhesive Interface Structure/Property Imaging
    Yong Wang; Fiscal Year: 2006
    ..unreadable] [unreadable]..
    Zora Djuric; Fiscal Year: 2002
    ..The use of biomarkers will allow to evaluate the cancer-protective effects of dietary modulation over a relatively short period of time. ..
    Douglas Borchman; Fiscal Year: 2003
    ..An understanding of these alterations will facilitate the development of therapies to prevent or perhaps even reverse these changes. ..
    Leo Cheng; Fiscal Year: 2003
    ..abstract_text> ..
  59. Neuropsychological Testing for Lupus and Depression
    Elizabeth Kozora; Fiscal Year: 2002
    William McBride; Fiscal Year: 2009
    ..Such information could be helpful in developing useful strategies for combating the major problem of adolescent alcohol drinking. ..
  61. Automated Chip-Based Metabolomic Analysis
    James Liao; Fiscal Year: 2006
    ..abstract_text> ..
  62. Pharmacogenetics of the Antidepressant Response in Geriatric Major Depression
    Greer M Murphy; Fiscal Year: 2010
    ..Many patients are resistant to antidepressant medication treatment. A method for identifying patients likely to benefit from antidepressant treatment would decrease patient distress and save health care dollars. ..