Genomes and Genes
automated pattern recognition
Summary: In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
Publications276 found, 100 shown here
- Minimum redundancy feature selection from microarray gene expression dataChris Ding
Computational Research Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA
J Bioinform Comput Biol 3:185-205. 2005..SUPPLIMENTARY: The top 60 MRMR genes for each of the datasets are listed in http://crd.lbl.gov/~cding/MRMR/. More information related to MRMR methods can be found at http://www.hpeng.net/...
- A review of feature selection techniques in bioinformaticsYvan Saeys
Department of Plant Systems Biology, VIB, B 9052 Ghent, Belgium
Bioinformatics 23:2507-17. 2007....
- ROCR: visualizing classifier performance in RTobias Sing
Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrucken, Germany
Bioinformatics 21:3940-1. 2005..Being equipped with only three commands and reasonable default values for optional parameters, ROCR combines flexibility with ease of usage...
- I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray dataWillem Talloen
Johnson and Johnson Pharmaceutical Research and Development, Division of Janssen Pharmaceutica N V, Beerse, Belgium
Bioinformatics 23:2897-902. 2007..A Bayesian factor analysis with specifically chosen prior settings, which models this probe level information, is providing an objective feature filtering technique, named informative/non-informative calls (I/NI calls)...
- Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopyXiaowei Chen
HCNR Center for Bioinformatics, Harvard Medical School, Boston, MA 02115, USA
IEEE Trans Biomed Eng 53:762-6. 2006..Experimental results show that the proposed method is efficient and effective in cell tracking and phase identification...
- Computational cluster validation in post-genomic data analysisJulia Handl
School of Chemistry, University of Manchester, Faraday Building, Sackville Street, PO Box 88, Manchester M60 1QD, UK
Bioinformatics 21:3201-12. 2005..Suitable computational cluster validation techniques are available in the general data-mining literature, but have been given only a fraction of the same attention in bioinformatics...
- Training a support vector machine in the primalOlivier Chapelle
Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany
Neural Comput 19:1155-78. 2007..On the contrary, from the primal point of view, new families of algorithms for large-scale SVM training can be investigated...
- Automated protein function prediction--the genomic challengeIddo Friedberg
Burnham Institute for Medical Research, Program in Bioinformatics and Systems Biology, La Jolla, CA 92037, USA
Brief Bioinform 7:225-42. 2006..This article briefly outlines the history of automated protein function prediction and surveys the latest innovations in all three topics...
- STEM: a tool for the analysis of short time series gene expression dataJason Ernst
Center for Automated and Learning and Discovery, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
BMC Bioinformatics 7:191. 2006..Previously short time series gene expression data has been mainly analyzed using more general gene expression analysis tools not designed for the unique challenges and opportunities inherent in short time series gene expression data...
- Gene selection and classification of microarray data using random forestRamon Diaz-Uriarte
Bioinformatics Unit, Biotechnology Programme, Spanish National Cancer Centre CNIO, Melchor Fernandez Almagro 3, Madrid, 28029, Spain
BMC Bioinformatics 7:3. 2006..Thus, it is important to understand the performance of random forest with microarray data and its possible use for gene selection...
- An algorithm for constraint-based structural template matching: application to 3D templates with statistical analysisJonathan A Barker
European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK
Bioinformatics 19:1644-9. 2003..In the context of template matching, there is an urgent need for normalization of scores so that results from templates with differing sensitivity may be compared directly...
- Textural analysis of contrast-enhanced MR images of the breastPeter Gibbs
Academic Department of Radiology, University of Hull, Hull, United Kingdom
Magn Reson Med 50:92-8. 2003..On combining features obtained using textural analysis with lesion size, time to maximum enhancement, and patient age, a diagnostic accuracy of A(z) = 0.92 +/- 0.05 was demonstrated...
- A strategy for identifying locomotion modes using surface electromyographyHe Huang
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA
IEEE Trans Biomed Eng 56:65-73. 2009..1%, and 5.2% +/- 3.7%, respectively. Comparable results were also observed in our pilot study on the subjects with TF amputations. The outcome of this investigation could promote the future design of neural-controlled artificial legs...
- Image analysis algorithms for cell contour recognition in budding yeastMats Kvarnström
Fraunhofer Chalmers Research Centre, Chalmers Science Park, SE 412 88 Göteborg, Sweden
Opt Express 16:12943-57. 2008..The cell contours can be used to effectively quantify cell morphology parameters as well as protein abundance and subcellular localization from overlaid fluorescence data...
- Texture analysis of medical imagesG Castellano
Neuroimage Laboratory, Faculty of Medical Sciences, State University of Campinas, Brazil
Clin Radiol 59:1061-9. 2004..In this article we clarify the principles of texture analysis and give examples of its applications, reviewing studies of the technique...
- Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genesMarcel Smid
Department of Pathology, Josephine Nefkens Institute, Erasmus MC, P O Box 1738, 3000 DR Rotterdam, The Netherlands
Bioinformatics 19:2065-71. 2003..As the clustering algorithm searches for similarities between experiments, it will most likely first separate the data sets, masking relationships that exist between samples from different databases...
- Clustering cancer gene expression data: a comparative studyMarcilio C P De Souto
Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
BMC Bioinformatics 9:497. 2008..There have been no studies thus far performing a large-scale evaluation of different clustering methods in this context...
- A wavelet-based continuous classification scheme for multifunction myoelectric controlK Englehart
Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
IEEE Trans Biomed Eng 48:302-11. 2001..Although in its preliminary stages of development, this scheme promises a more natural and efficient means of myoelectric control than one based on discrete, transient bursts of activity...
- A study on several machine-learning methods for classification of malignant and benign clustered microcalcificationsLiyang Wei
Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
IEEE Trans Med Imaging 24:371-80. 2005..e., SVM, KFD, and RVM) yielded the best performance (Az = 0.85, SVM), significantly outperforming a well-established, clinically-proven CADx approach that is based on neural network (Az = 0.80)...
- Slow feature analysis: unsupervised learning of invariancesLaurenz Wiskott
Computational Neurobiology Laboratory, Salk Institute for Biological Studies, San Diego, CA 92168, USA
Neural Comput 14:715-70. 2002..The generated representation is suitable for object recognition. Performance degrades if the network is trained to learn multiple invariances simultaneously...
- Towards adaptive classification for BCIPradeep Shenoy
Computer Science Department, University of Washington, Box 352350, Seattle, WA 98195, USA
J Neural Eng 3:R13-23. 2006..An encouraging result of our study is that surprisingly simple adaptive methods in combination with an offline feature selection scheme can significantly increase BCI performance...
- Ensemble non-negative matrix factorization methods for clustering protein-protein interactionsDerek Greene
School of Computer Science and Informatics, University College Dublin, Dublin, Ireland
Bioinformatics 24:1722-8. 2008..Here we propose a new algorithm for aggregating a diverse collection of matrix factorizations to produce a more informative clustering, which takes the form of a 'soft' hierarchy of clusters...
- Normalized cuts in 3-D for spinal MRI segmentationJulio Carballido-Gamio
Joint Graduate Group in Bioengineering, University of California, San Francisco, 94143 1290, USA
IEEE Trans Med Imaging 23:36-44. 2004..Results of the segmentation as well as limitations and challenges in this area are presented...
- Comparison of public peak detection algorithms for MALDI mass spectrometry data analysisChao Yang
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, PR China
BMC Bioinformatics 10:4. 2009..The main objective of this paper is to provide such a survey and to compare the performance of single spectrum based peak detection methods...
- Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's diseaseMarie Chupin
Department of Clinical and Experimental Epilepsy, Institute of Neurology, UCL, UK
Neuroimage 34:996-1019. 2007..The proposed approach provides a new framework for further developments in quantitative analyses of the pathological hippocampus and amygdala in MRI scans...
- Sparse multinomial logistic regression: fast algorithms and generalization boundsBalaji Krishnapuram
Computer Aided Diagnosis and Therapy Group, Siemens Medical Solutions USA, Inc, 51 Valley Stream Pkwy, Malvern, PA 19355, USA
IEEE Trans Pattern Anal Mach Intell 27:957-68. 2005..Third, we show how nontrivial generalization bounds can be derived for our classifier in the binary case. Experimental results on standard benchmark data sets attest to the accuracy, sparsity, and efficiency of the proposed methods...
- Wavelets in bioinformatics and computational biology: state of art and perspectivesPietro Lio
Department of Zoology, University of Cambridge, UK
Bioinformatics 19:2-9. 2003..Wavelets are more efficient and faster than Fourier methods in capturing the essence of data. Nowadays there is a growing interest in using wavelets in the analysis of biological sequences and molecular biology-related signals...
- Open source clustering softwareM J L de Hoon
Human Genome Center, Institute of Medical Science, University of Tokyo, 4 6 1 Shirokanedai, Minato ku, Tokyo, 108 8639 Japan
Bioinformatics 20:1453-4. 2004..In addition, we generated a Python and a Perl interface to the C Clustering Library, thereby combining the flexibility of a scripting language with the speed of C...
- Prediction of protein structural class for the twilight zone sequencesLukasz Kurgan
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada
Biochem Biophys Res Commun 357:453-60. 2007....
- A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosisAlexander Statnikov
Department of Biomedical Informatics, Vanderbilt University Nashville, TN, USA
Bioinformatics 21:631-43. 2005....
- A comprehensive comparison of random forests and support vector machines for microarray-based cancer classificationAlexander Statnikov
Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
BMC Bioinformatics 9:319. 2008..Recent work, however, suggests that random forest classifiers may outperform support vector machines in this domain...
- Segmentation of clustered nuclei with shape markers and marking functionJierong Cheng
School of Computer Engineering, Nanyang Technological University, Singapore 638798, Singapore
IEEE Trans Biomed Eng 56:741-8. 2009..On mouse neuronal and Drosophila cellular images, we achieved 6%-7% improvement of segmentation accuracies over earlier methods...
- A neural-network-based method for predicting protein stability changes upon single point mutationsEmidio Capriotti
Laboratory of Biocomputing, CIRB Department of Biology, University of Bologna, Bologna, Italy
Bioinformatics 20:i63-8. 2004..This allows the application of machine learning techniques to predicting free energy stability changes upon mutation starting from the protein sequence...
- MedScan, a natural language processing engine for MEDLINE abstractsSvetlana Novichkova
Ariadne Genomics, Inc, 9100 Great Seneca HWY, Rockville, MD 20850, USA
Bioinformatics 19:1699-706. 2003..Most proposals to date make rather simplistic assumptions about the syntactic aspect of natural language. There is an urgent need for a system that has broad coverage and performs well in real-text applications...
- Pyrobayes: an improved base caller for SNP discovery in pyrosequencesAaron R Quinlan
Department of Biology, Boston College, 140 Commonwealth Avenue, Chestnut Hill, Massachusetts 02467, USA
Nat Methods 5:179-81. 2008..Pyrobayes permits accurate single-nucleotide polymorphism (SNP) calling in resequencing applications, even in shallow read coverage, primarily because it produces more confident base calls than the native base calling program...
- Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial armsTodd A Kuiken
Neural Engineering Center for Artificial Limbs, Rehabilitation Institute of Chicago, 345 E Superior St, Room 1309, Chicago, IL 60611, USA
JAMA 301:619-28. 2009..After reinnervation, these target muscles produce electromyogram (EMG) signals on the surface of the skin that can be measured and used to control prosthetic arms...
- Robust object recognition with cortex-like mechanismsThomas Serre
Massachusetts Institute of Technology, Center for Biological and Computational Learning, McGovern Institute for Brain Research and Brain and Cognitive Sciences Department, MA 02139, USA
IEEE Trans Pattern Anal Mach Intell 29:411-26. 2007..In addition to its relevance for computer vision, the success of this approach suggests a plausibility proof for a class of feedforward models of object recognition in cortex...
- A systematic comparison and evaluation of biclustering methods for gene expression dataAmela Prelic
Computer Engineering and Networks Laboratory, ETH Zurich, 8092 Zurich, Switzerland
Bioinformatics 22:1122-9. 2006....
- NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognitionRichard Tzong Han Tsai
Institute of Information Science, Academia Sinica, Nankang, Taipei 115, Taiwan, Republic of China
BMC Bioinformatics 7:S11. 2006..We use global patterns generated by the Smith-Waterman local alignment algorithm to identify such structures and modify the results of our ML-based tagger. This is called pattern-based post-processing...
- Three-dimensional reconstruction and quantification of cervical carcinoma invasion fronts from histological serial sectionsUlf Dietrich Braumann
Interdisciplinary Center for Bioinformatics, University Leipzig, Leipzig, Germany
IEEE Trans Med Imaging 24:1286-307. 2005..By this, we achieved the most detailed 3-D reconstruction of the invasion of solid tumors so far. Once reconstructed, the invasion front of the segmented tumor is quantified using discrete compactness...
- Optimal word sizes for dissimilarity measures and estimation of the degree of dissimilarity between DNA sequencesTiee Jian Wu
Department of Statistics, National Cheng Kung University, Tainan, Taiwan
Bioinformatics 21:4125-32. 2005..These simulated data can be used to estimate the degree of dissimilarity beta between any pair of DNA sequences...
- Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid compositionTakeyuki Tamura
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611 0011, Japan
BMC Bioinformatics 8:466. 2007..Since existing predictors are based on various heuristics, it is important to develop a simple method with high prediction accuracies...
- A reliable method for cell phenotype image classificationLoris Nanni
Department of Electronic, Informatics and Systems DEIS, Universita di Bologna, Via Venezia 52, 47023 Cesena, Italy
Artif Intell Med 43:87-97. 2008..Image-based approaches have proven to be of great utility in the automated cell phenotype classification, it is very important to develop a method that efficiently quantifies, distinguishes and classifies sub-cellular images...
- Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrievalDacheng Tao
School of Computer Science and Information Systems, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK
IEEE Trans Pattern Anal Mach Intell 28:1088-99. 2006..Finally, by integrating AB-SVM and RS-SVM, an asymmetric bagging and random subspace SVM (ABRS-SVM) is built to solve these three problems and further improve the relevance feedback performance...
- Classification and knowledge discovery in protein databasesPredrag Radivojac
Center for Information Science and Technology, Temple University, USA
J Biomed Inform 37:224-39. 2004..In our experiments, training classifiers specialized to the class distributions of each cluster resulted in a further decrease in classification error...
- BaCelLo: a balanced subcellular localization predictorAndrea Pierleoni
Biocomputing Group, Dept of Biology University of Bologna, Via Irnerio 42, 40126 Bologna, Italy
Bioinformatics 22:e408-16. 2006..Computational procedures are then needed for annotating the subcellular location of proteins in large scale genomic projects...
- Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectorsJ I Godino-Llorente
Universidad Politecnica de Madrid, Escuela Universitaria de Ingeniería Técnica de Telecomunicación, Dpt of Ingeniería de Circuitos y Sistemas, Ctra Valencia km 7, 28031, Madrid
IEEE Trans Biomed Eng 51:380-4. 2004..Within this context, the Learning Vector quantization methodology demonstrated to be more reliable than the multilayer perceptron architecture yielding 96% frame accuracy under similar working conditions...
- Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRIKe Nie
Tu and Yuen Center for Functional Onco Imaging, University of California, CFOI, 164 Irvine Hall, Irvine, CA 92697, USA
Acad Radiol 15:1513-25. 2008....
- Efficient and robust feature extraction by maximum margin criterionHaifeng Li
Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA
IEEE Trans Neural Netw 17:157-65. 2006..The kernelized (nonlinear) counterpart of this linear feature extractor is also established in the paper. Our extensive experiments demonstrate that the new feature extractors are effective, stable, and efficient...
- Biclustering of gene expression data by Non-smooth Non-negative Matrix FactorizationPedro Carmona-Saez
Biocomputing Unit, National Center of Biotechnology, Campus Universidad Autonoma de Madrid, 28049 Spain
BMC Bioinformatics 7:78. 2006..These patterns may provide clues about the main biological processes associated to different physiological states...
- A naive Bayes model to predict coupling between seven transmembrane domain receptors and G-proteinsJack Cao
Department of Molecular Sciences, AstraZeneca R and D Montreal, 7171 Frederick Banting Street, St Laurent, Quebec H4S 1Z9, Canada
Bioinformatics 19:234-40. 2003..The sampling of an intracellular domain sequence was achieved by identifying the cluster containing the homologue with the highest sequence similarity...
- Multiple spaced seeds for homology searchLucian Ilie
Department of Computer Science, University of Western Ontario, N6A 5B7, London, Ontario, Canada
Bioinformatics 23:2969-77. 2007..The multiple spaced seed of PatternHunterII, with 16 weight 11 seeds, was computed in 12 days. It takes us 17 s to find a better one. Our approach changes the way of looking at multiple spaced seeds...
- Comparison of linear, nonlinear, and feature selection methods for EEG signal classificationDeon Garrett
Department of Computer Science, Colorado State University, Fort Collins 80523, USA
IEEE Trans Neural Syst Rehabil Eng 11:141-4. 2003..An approach to feature selection based on genetic algorithms is also presented with preliminary results of application to EEG during finger movement...
- OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammarHåkan Viklund
Department of Biochemistry and Biophysics Center for Biomembrane Research Stockholm Bioinformatics Center, The Arrhenius Laboratories for Natural Sciences, Stockholm University, SE 10691 Stockholm, Sweden
Bioinformatics 24:1662-8. 2008..Because structural knowledge of transmembrane proteins is difficult to attain experimentally, improved methods for prediction of structural features of these proteins are important...
- Pattern identification and classification in gene expression data using an autoassociative neural network modelSilvio Bicciato
Department of Chemical Process Engineering, University of Padova, Via Marzolo, 9, 35131, Padova, Italy
Biotechnol Bioeng 81:594-606. 2003..At the same time, the neural network outputs provide assignment to multiple classes, such as different pathological conditions or tissue samples, for previously unseen instances...
- Terminology-driven mining of biomedical literatureGoran Nenadic
Computer Science, University of Salford, Salford M5 4WT, UK
Bioinformatics 19:938-43. 2003..Although the knowledge is organized around sets of domain-specific terms, few literature mining systems incorporate deep and dynamic terminology processing...
- Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learningThouis R Jones
The Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA
Proc Natl Acad Sci U S A 106:1826-31. 2009..By using this approach, we successfully scored images in RNA interference screens in 2 organisms for the prevalence of 15 diverse cellular morphologies, some of which were previously intractable...
- A fuzzy clustering neural network architecture for multifunction upper-limb prosthesisBekir Karlik
Department of Computer Engineering, College of Information Technology, University of Bahrain, Kingdom of Bahrain
IEEE Trans Biomed Eng 50:1255-61. 2003..The results suggest that FCNN can generalize better than other NN algorithms and help the user learn better and faster. This method has the potential of being very efficient in real-time applications...
- Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid compositionHong Bin Shen
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China
Biochem Biophys Res Commun 337:752-6. 2005..The OET-KNN classifier will be available at www.pami.sjtu.edu.cn/people/hbshen...
- Gene networks inference using dynamic Bayesian networksBruno Edouard Perrin
Laboratoire d Informatique de Paris 6, CNRS UMR 7606, Paris, France
Bioinformatics 19:ii138-48. 2003..Good prediction abilities on unlearned data are observed. These first results are very promising: they show the power of the learning algorithm and the ability of the model to capture gene interactions...
- Local graph alignment and motif search in biological networksJohannes Berg
Institut fur Theoretische Physik, Universitat zu Koln, Zülpicherstrasse 77, 50937 Cologne, Germany
Proc Natl Acad Sci U S A 101:14689-94. 2004..The algorithm is applied to the gene regulation network of Escherichia coli...
- A kinetic-based sigmoidal model for the polymerase chain reaction and its application to high-capacity absolute quantitative real-time PCRRobert G Rutledge
Natural Resources Canada, Canadian Forest Service, 1055 du PEPS, Quebec, Quebec G1V 4C7, Canada
BMC Biotechnol 8:47. 2008....
- Texture analysis of optical coherence tomography images: feasibility for tissue classificationKirk W Gossage
University of Arizona, Biomedical Engineering Program, Tucson, Arizona 85721 0104, USA
J Biomed Opt 8:570-5. 2003..0 and 88.6%, respectively). This study shows that texture analysis of OCT images may be capable of differentiating tissue types without reliance on visible structures...
- Comparative analysis of five protein-protein interaction corporaSampo Pyysalo
Turku Centre for Computer Science TUCS, Department of IT, University of Turku, Joukahaisenkatu 3 5, 20520 Turku, Finland
BMC Bioinformatics 9:S6. 2008..However, there is no general consensus regarding PPI annotation and consequently resources are largely incompatible and methods are difficult to evaluate...
- Computational methods for analysis of human breast tumor tissue in optical coherence tomography imagesAdam M Zysk
Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Beckman Institute for Advanced Science and Technology, 405 N Mathews Ave, Urbana, Illinois 61801, USA
J Biomed Opt 11:054015. 2006..Derived from preliminary OCT data, these methods are aimed at the development of automated diagnostic tools that will aid in the translation of this technology into the clinical environment...
- Independent histogram pursuit for segmentation of skin lesionsDavid Delgado Gómez
Computational Imaging Lab, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
IEEE Trans Biomed Eng 55:157-61. 2008..The boundary detection precision using k-means segmentation was close to 97%. The proposed algorithm can be easily combined with the majority of classification algorithms...
- Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) modelsWen Liu
Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA
BMC Bioinformatics 7:182. 2006....
- Protein structure similarity from Principle Component Correlation analysisXiaobo Zhou
Center for Neurodegeneration and Repair, Center for Bioinformatics, Harvard Medical School, Boston, MA 02215, USA
BMC Bioinformatics 7:40. 2006..We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities...
- Prediction of linear B-cell epitopes using amino acid pair antigenicity scaleJ Chen
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China
Amino Acids 33:423-8. 2007..It is anticipated that with the continuous increase of the known epitope data, the power of the AAP antigenicity scale approach will be further enhanced...
- Sequence alignment kernel for recognition of promoter regionsLeo Gordon
Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK
Bioinformatics 19:1964-71. 2003..The results show that our method performs well and achieves 16.5% average error rate on positive & coding negative data and 18.6% average error rate on positive & non-coding negative data...
- The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene listsDa Wei Huang
Laboratory of Immunopathogenesis and Bioinformatics, Clinical Services Program, SAIC Frederick, Inc, National Cancer Institute at Frederick, Frederick, MD 21702, USA
Genome Biol 8:R183. 2007..It is a powerful method to group functionally related genes and terms into a manageable number of biological modules for efficient interpretation of gene lists in a network context...
- Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithmsJonathon W Sensinger
Neural Engineering Center for Artificial Limbs, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA
IEEE Trans Neural Syst Rehabil Eng 17:270-8. 2009..Supervised adaptation should be considered for incorporation into any clinically viable pattern recognition controller, and unsupervised adaptation should receive renewed interest in order to provide transparent adaptation...
- Automatic clustering of orthologs and inparalogs shared by multiple proteomesAndrey Alexeyenko
Center for Genomics and Bioinformatics, Karolinska Institutet, S 17177 Stockholm, Sweden
Bioinformatics 22:e9-15. 2006..Identification of orthologous groups shared by multiple proteomes therefore becomes a clustering problem in which an optimal compromise between conflicting evidences needs to be found...
- A fully on-line adaptive BCIC Vidaurre
Department of Electrical Engineering and Electronics, State University of Navarra, Pamplona, Spain
IEEE Trans Biomed Eng 53:1214-9. 2006..The success of the feedback was studied analyzing the error rate and mutual information of each session and this analysis showed a clear improvement of the subject's control of the BCI from session to session...
- Efficient discovery of conserved patterns using a pattern graphI Jonassen
Department of Informatics, University of Bergen, Norway
Comput Appl Biosci 13:509-22. 1997..In many cases, this version of Pratt was very efficient, but in other cases it was too time consuming to be applied. Hence, a more efficient algorithm was needed...
- A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approachS Hua
Institute of Bioinformatics, State key Laboratory of Biemembrane and Membrane Biotechnology, Department of Biological Sciences and Biotechnology, Tsinghua University, Beijing 100084, China
J Mol Biol 308:397-407. 2001..The SVM method is conveniently applied to many other pattern classification tasks in biology...
- A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequencesRazib M Othman
Department of Software Engineering, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, 81310 UTM Skudai, Malaysia
J Biomed Inform 41:65-81. 2008..The computational results and comparison with other related tools are presented to show the effectiveness of the proposed algorithm and tools...
- Graph-based consensus clustering for class discovery from gene expression dataZhiwen Yu
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
Bioinformatics 23:2888-96. 2007..By consensus clustering, one can discover the underlying classes of the samples in gene expression data...
- An evaluation of GO annotation retrieval for BioCreAtIvE and GOAEvelyn B Camon
European Molecular Biology Laboratory, European Bionformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
BMC Bioinformatics 6:S17. 2005..Finally, we provide the results of the first inter-annotator agreement study for manual GO curation, as well as an assessment of our current electronic GO annotation strategies...
- EDGE: extraction and analysis of differential gene expressionJeffrey T Leek
Department of Biostatistics, University of Washington, Seattle 98195, USA
Bioinformatics 22:507-8. 2006..EDGE can perform both standard and time course differential expression analysis. The functions are based on newly developed statistical theory and methods. This document introduces the EDGE software package...
- Optimal number of features as a function of sample size for various classification rulesJianping Hua
Department of Electrical Engineering, Texas A and M University, College Station, TX 77843, USA
Bioinformatics 21:1509-15. 2005..For fixed sample size and feature-label distribution, the issue is to find an optimal number of features...
- Motif-based protein ranking by network propagationRui Kuang
Department of Computer Science, Columbia University New York, NY 10027, USA
Bioinformatics 21:3711-8. 2005..The most widely-used pairwise sequence comparison algorithms for homology detection, such as BLAST and PSI-BLAST, often fail to detect less conserved remotely-related targets...
- Critical evaluation of methods used to determine amplification efficiency refutes the exponential character of real-time PCRRobert G Rutledge
Natural Resources Canada, Canadian Forest Service, 1055 du PEPS, Quebec, Quebec G1V 4C7, Canada
BMC Mol Biol 9:96. 2008..Called "linear regression of efficiency" or LRE, this kinetic-based approach redefines amplification efficiency as the maximal efficiency (Emax) generated at the onset of thermocycling...
- Characterization of breast cancer types by texture analysis of magnetic resonance imagesKirsi Holli
Medical Imaging Centre, Tampere University Hospital, Post Box 2000, 33521 Tampere, Finland
Acad Radiol 17:135-41. 2010....
- Gene prediction with a hidden Markov model and a new intron submodelMario Stanke
Institut fur Mikrobiologie und Genetik, Abteilung Bioinformatik, Universitat Gottingen, Gottingen, Germany
Bioinformatics 19:ii215-25. 2003..Gene finding programs have achieved relatively high accuracy on short genomic sequences but do not perform well on longer sequences with an unknown number of genes in them. Here existing programs tend to predict many false exons...
- Knowledge discovery by automated identification and ranking of implicit relationshipsJonathan D Wren
Advanced Center for Genome Technology, Department of Botany and Microbiology, The University of Oklahoma, 620 Parrington Oval Rm 106, Norman, OK 73019, USA
Bioinformatics 20:389-98. 2004....
- RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteinsZheng Rong Yang
School of Engineering and Computer Science, Exeter University, Exeter EX4 4QF, UK
Bioinformatics 21:3369-76. 2005..The study and detection of such disordered regions is important both for understanding protein function and for facilitating structural analysis since disordered regions may affect solubility and/or crystallizability...
- Nonnegative matrix factorization: an analytical and interpretive tool in computational biologyKarthik Devarajan
Division of Population Science, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
PLoS Comput Biol 4:e1000029. 2008..In this paper, we review this method as a data analytical and interpretive tool in computational biology with an emphasis on these applications...
- Pathway analysis using random forests classification and regressionHerbert Pang
Division of Biostatistics, Department of Epidemiology and Public Health, Yale University School of Medicine New Haven, CT 06520, USA
Bioinformatics 22:2028-36. 2006..Pathway-based analysis in microarray studies may lead to more informative and relevant knowledge for biological researchers...
- Classification of single-trial electroencephalogram during finger movementYong Li
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
IEEE Trans Biomed Eng 51:1019-25. 2004..This technique can be employed in an EEG-based brain-computer interface due to its high recognition rate, insensitivity to noise, and simplicity in computation...
- Prostate cancer multi-feature analysis using trans-rectal ultrasound imagesS S Mohamed
Electrical and Computer Engineering Department, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada
Phys Med Biol 50:N175-85. 2005..The accuracy classification results range from 87.5% to 93.75%, where the performance of the SVM and that of the DT are significantly better than the performance of the CNN...
- Multidimensional support vector machines for visualization of gene expression dataD Komura
Research Center for Advanced Science and Technology, University of Tokyo Tokyo 153 8904, Japan
Bioinformatics 21:439-44. 2005..However, in the case of binary classification of gene expression data, PCA does not utilize class information when choosing axes. Thus clearly separable data in the original space may not be so in the reduced space used in PCA...
- A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expressionTao Li
Computer Science Department, University of Rochester, Rochester, NY 14627 0226, USA
Bioinformatics 20:2429-37. 2004..While increasing the number of samples is a plausible solution to the problem of accuracy degradation, it is important to develop algorithms that are able to analyze effectively multiple-class expression data for these special datasets...
- A robust, real-time control scheme for multifunction myoelectric controlKevin Englehart
Department of Biomedical Engineering, University of New Brunswick, 25 Dineen Drive, Fredericton, NB E3B5A3, Canada
IEEE Trans Biomed Eng 50:848-54. 2003..Finally, minimal storage capacity is required, which is an important factor in embedded control systems...
- Is cross-validation valid for small-sample microarray classification?Ulisses M Braga-Neto
Section of Clinical Cancer Genetics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
Bioinformatics 20:374-80. 2004..Bootstrap methods provide improved performance relative to variance, but at a high computational cost and often with increased bias (albeit, much less than with resubstitution)...
- Computer-aided tumor detection in endoscopic video using color wavelet featuresStavros A Karkanis
Realtime Systems and Image Analysis Group, Department of Informatics and Telecommunications, University of Athens, Greece
IEEE Trans Inf Technol Biomed 7:141-52. 2003..The performance in the detection of abnormal colonic regions corresponding to adenomatous polyps has been estimated high, reaching 97% specificity and 90% sensitivity...
- Feature selection for the classification of movements from single movement-related potentialsElad Yom-Tov
Technion Israel Institute of Technology, Haifa 32000, Israel
IEEE Trans Neural Syst Rehabil Eng 10:170-7. 2002..With the addition of a simple coding scheme, this method can be applied to multiple limb classification and a 63% classification accuracy rate can be reached when attempting to distinguish between three limbs...
- High throughput profile-profile based fold recognition for the entire human proteomeLiam J McGuffin
The Biocentre, University of Reading, Whiteknights, PO Box 221, Reading RG6 6AS, UK
BMC Bioinformatics 7:288. 2006..We use the most recent profile-profile version of our mGenTHREADER software in order to annotate the latest version of the Human proteome against the latest sequence and structure databases in as short a time as possible...
- SLiMFinder: a probabilistic method for identifying over-represented, convergently evolved, short linear motifs in proteinsRichard J Edwards
University College Dublin Complex and Adaptive Systems Laboratory, University College Dublin, Dublin, Ireland
PLoS ONE 2:e967. 2007..Incorporating ambiguous amino acid positions and/or variable-length wildcard spacers between defined residues further complicates the matter...
- Prediction of integral membrane protein type by collocated hydrophobic amino acid pairsKe Chen
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada
J Comput Chem 30:163-72. 2009..This conclusion is supported by a recent study on potential of mean force for membrane protein folding and a study of scales for membrane propensity of amino acids...
- Prediction of human protein function according to Gene Ontology categoriesL J Jensen
Center for Biological Sequence Analysis, BioCentrum DTU, Building 208, The Technical University of Denmark, DK 2800 Lyngby, Denmark
Bioinformatics 19:635-42. 2003..As a large fraction of these are functionally uncharacterized, it is of interest to develop methods for predicting their molecular function from sequence...
- Emergency Neurophysiological Assessment Bedside Logic EngineDon M Tucker; Fiscal Year: 2010..Reliable automated pattern recognition is required, yet in the past this has often failed to separate real neurological disorder from ..
- Predict Near Future Bed Exit for Effective Intervention to Avoid Nighttime FallsTHOMAS HENRY WHALEN; Fiscal Year: 2012..Therefore, with a rapidly aging population, ever-increasing healthcare costs, and limited healthcare resources, there is significant and critical relevance to reducing the number of falls, and fall-related injuries among the elderly. ..
- EVASION OF ANTIGEN PRESENTATION BY VACUOLAR PATHOGENSCraig R Roy; Fiscal Year: 2013..Thus, this project is focused on identifying molecular mechanisms that mediate host protection by investigating the role of immune surveillance pathways in generating a response against the intracellular pathogen Legionella pneumophila. ..
- SBIR PHASE II- TOPIC 234- AUTOMATED PATTERN RECOGNITION IN SATELLITE IMAGERYPIERRE E GOOVAERTS; Fiscal Year: 2009..abstract_text> ..
- A Virtual Reality Environment for Genomic Data VisualizationFatima Merchant; Fiscal Year: 2007..The primary healthcare benefits that will accrue from this development will result from the accelerated development of diagnostics and treatments for diseases. [unreadable] [unreadable] [unreadable]..
- NEUROTOXICITY OF CNS PROPHYLACTIC THERAPIES IN ALLPHYLLIS MULLENIX; Fiscal Year: 1993..Consequently, this animal model can provide important information on how CNS prophylactic therapies can be manipulated to reduce neurotoxicity...
- NEW TECHNIQUES FOR MAP/SEQUENCE PATTERN RECOGNITIONTERENCE THOMPSON; Fiscal Year: 1993..growth of genomic data and the inherent complexity and variability of its biological significance, automated pattern recognition is critical for efficiently identifying structural and functional relationships in the genomic ..
- Vector Quantization for Image Pattern RecognitionDIRK SOENKSEN; Fiscal Year: 2003..Virtual slides set the stage for automating microscopic inspection using automated pattern recognition. This research aims to adapt and optimize Aperio's existing and novel algorithms for vector ..
- Three-dimensional Molecular Pattern RecognitionNiels Volkmann; Fiscal Year: 2006..For each step, computer-generated model systems will also be used as a tool for development and evaluation. Documentation, tutorials and an easy to-use interface will be developed. ..
- Clinical decision-making using a data-driven displayJames Harrison; Fiscal Year: 2005..abstract_text> ..
- Continued Development and Maintenance of a Computational Morphometry ToolkitTorsten Rohlfing; Fiscal Year: 2010..This project will enhance a proven soft- ware system for imaging-based morphometric studies and make it freely avail- able to the scientific community. ..
- 3D Massive Training ANN for CAD for Colon Cancer in CT ColonographyKenji Suzuki; Fiscal Year: 2010....
- Multimodality CAD system with image references for breast mass characterizationBerkman Sahiner; Fiscal Year: 2007..Any reduction in this number without a decrease in breast cancer detection sensitivity will decrease health care costs, as well as contribute to the well-being of the patient by reducing anxiety and morbidity. ..
- Enhancement and Dissemination of ART: An Automatic Registration ToolboxBabak Ardekani; Fiscal Year: 2007..unreadable] [unreadable] [unreadable] [unreadable]..
- Three-Class ROC Analysis for Task-Based Medical Image Quality AssessmentXin He; Fiscal Year: 2008..unreadable] [unreadable] [unreadable]..
- Iron Status: A Pathway Analysis in Multiple EthnicitiesChristine McLaren; Fiscal Year: 2009..Potential study results could be used to identify individuals at risk for iron deficiency and to develop innovative prevention and treatment strategies. ..
- Information theoretic assays of exploration in aged miceStephen Bonasera; Fiscal Year: 2007..unreadable] [unreadable] [unreadable]..
- Serotonergic Regulation of Behavioral DisinhibitionStephen Bonasera; Fiscal Year: 2007..abstract_text> ..
- Subcortical Hyperintensities in Sleep Apnea SyndromeMark Aloia; Fiscal Year: 2007..We expect to analyze data on approximately 1,120 participants based on our preliminary studies with this data set. [unreadable] [unreadable]..
- CD4+ T cell subset function in antitumor immune responsePiotr Kraj; Fiscal Year: 2009..We will also investigate what is the origin of T cells with effector and regulatory function-in tumor tissue and try to identify precursors of these cells in the T cell population of healthy mice. ..
- Mycobacterium tuberculosis-reactive thymocytesMARIELLE GOLD; Fiscal Year: 2007..unreadable] [unreadable] [unreadable]..
- Statistical Methods for the Analysis of Functional Genomic DataDebashis Ghosh; Fiscal Year: 2008..unreadable] 5. Dissemination of these results in user-friendly statistical software. ..
- Subharmonic Microbubble Signals for Pressure EstimationFlemming Forsberg; Fiscal Year: 2008..This will allow potentially life-threatening diseases, such as increased pressure in the liver, to be diagnosed early. [unreadable] [unreadable] [unreadable]..
- ROBUST PORTABLE SOFTWARE FOR LOCATION PROTEOMICSRobert Murphy; Fiscal Year: 2006..unreadable] [unreadable]..
- Low-cost, portable, computer assisted imaging for diabe*Michael Abramoff; Fiscal Year: 2008..Our overall aim is to validate and optimize a low-cost, high quality, patient friendly imaging system for the early diagnosis of diabetic retinopathy. ..
- Contrast-Enhanced Ultrasound Detection of AngiogenesisFlemming Forsberg; Fiscal Year: 2004..If successful, this project will permit non-invasive ultrasound evaluations of anti-angiogenic tumor therapies in animals as well as humans. ..
- Data Communication with Implantable Micro DevicesMingui Sun; Fiscal Year: 2002..We will implant this device within the brain of laboratory dogs and evaluate its performance. ..
- Head mounted display apparatus for visual field testDARIUSZ WROBLEWSKI; Fiscal Year: 2004..Incorporation of gaze tracking device increases test reliability and accuracy. The goal of Phase I work is to design and construct a prototype of head-mounted visual field apparatus. ..
- Cortical Reconstruction and Analysis SoftwareDzung Pham; Fiscal Year: 2009..Source code to all developed software will be made publicly available. ..
- Mapping spatial working memory and attention in cortexDonald Hagler; Fiscal Year: 2004..This project is an investigation into the neurobiological basis for memory of and attention to spatial location. ..
- Separating Intensity Change from Atrophy in Serial MRIColin Studholme; Fiscal Year: 2004..These applications are aimed at helping distinguish vascular disease from other dementias and at a better understanding of the biological mechanisms underlying the chronic effects of alcohol and recovery on the brain. ..
- Evolutionary Computation for Gene Expression AnalysisGARY FOGEL; Fiscal Year: 2003..The commercial potential for such a system is significant especially with regard to cell classification of any kind from molecular data. ..
- Four-Color Microscope For Single-Molecule SequencingGREGORY BASHFORD; Fiscal Year: 2002..Fields-of-use include research, diagnostics and personalized medicine. Public health applications include rapid sequencing (without cloning) of "designer germs" carrying engineered genomes that could cause novel symptoms. ..
- Archiving the Charleston Heart StudyPaul Nietert; Fiscal Year: 2002..abstract_text> ..
- Analytic Methods for Functional Neuroimaging DataF Dubois Bowman; Fiscal Year: 2010..The focus here on fMRI and PET data related to schizophrenia, depression, and cocaine-dependence illustrates the potential applicability and relevance of the proposed methods across a range of mental health disorders. ..
- Effects of Drug Use and Cessation on Monkey BrainItamar Ronen; Fiscal Year: 2003..2. Cessation of drug use will result in a normalization of brain measures. This will address the important issue of whether or not there is significant brain recovery following cessation of drug use. ..
- CD-HIT: A Fast Program to Cluster and Compare Large Sets of Biological SequencesWeizhong Li; Fiscal Year: 2010..Continued development of CD-HIT will better serve researchers who are facing more challenges in sequence analysis by the explosive growth of public sequence databases. ..
- SPATIALLY ORIENTED DATABASE FOR DIGITAL BRAIN IMAGESEdward H Herskovits; Fiscal Year: 2010..We expect that, as we implement more components of this software suite, neuroscientists will find it much easier to perform complex multivariate analyses of their data relating structure and function of the human brain. ..
- Regional Lung Mechanics by 3D Image RegistrationJoseph M Reinhardt; Fiscal Year: 2010..This information is now critical to the development and evaluation of new pulmonary disease therapies. ..
- Real-Time Monitoring of Laser Ablation with OCTBRIAN GOLDBERG; Fiscal Year: 2008..Although our approach is applicable to a spectrum of diseases, we will specifically focus on the treatment of Barrett's esophagus. [unreadable] [unreadable] [unreadable]..
- Decision Support Systems for MAG3 RenographyAndrew Taylor; Fiscal Year: 2005..abstract_text> ..
- Computer Aided Diagnosis of Lung CancerHeang Ping Chan; Fiscal Year: 2006..When fully developed and clinically implemented, a CAD system for lung nodules will increase the efficacy of lung cancer screening with helical CT, improve early detection, and improve the chance of survival of patients. ..
- Expression Analysis of Prostate CancerPhillip Febbo; Fiscal Year: 2006....
- Statistical Methods for Neuroimaging DataF Bowman; Fiscal Year: 2006..Computer software for these research developments will be made accessible to neuroimaging scientists. ..
- Novel Machine Learning Methods for Analysis of MALDI-TOF Mass Spectrometry DataHabtom Ressom; Fiscal Year: 2008..Furthermore, the peptides represented by the selected candidate biomarkers will be identified. Finally, the performance of the algorithm will be compared with existing methods. [unreadable] [unreadable] [unreadable]..
- Nonparametric Inference for Neuroimaging DataTimothy Johnson; Fiscal Year: 2008..abstract_text> ..
- DETECTION AND LOCALIZATION IN MAMMOGRAPHYBin Zheng; Fiscal Year: 2002..It will also investigate augmented CAD cues that code information about correlations between the two ipsilateral projections. ..
- Interactive CAD for MammographyBin Zheng; Fiscal Year: 2007..unreadable] [unreadable]..
- PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATIONDev Chakraborty; Fiscal Year: 2002..Also to be generated are iso-contour plots of the effects of common workstation variables on image quality in both tasks. This will allow digital mammography workstations to be more intelligently used. ..
- Phase resetting using DC stimulation for seizure blockageIvan Osorio; Fiscal Year: 2007..3B. The significant advances made in the control of fatal arrhythmias are in part attributable to the use by cardiologists of phase resetting as an investigative and therapeutic tool. [unreadable] [unreadable] [unreadable]..
- Digital Mammography: Advanced Computer-Aided Breast Can*Heang Ping Chan; Fiscal Year: 2007..abstract_text> ..
- BCI2000: SOFTWARE FOR BRAIN-COMPUTER INTERFACE RESEARCHGerwin Schalk; Fiscal Year: 2009..This project will greatly facilitate this development by improving and maintaining general-purpose BCI software and continuing to provide it to BCI research groups throughout the world. ..
- DEVELOPMENT OF TC-99M RENAL TUBULAR AGENTSAndrew Taylor; Fiscal Year: 2008..abstract_text> ..
- DTI and MRS Correlates of Aging in MonkeysItamar Ronen; Fiscal Year: 2008..Our specific aims are: (1) Collection of preliminary data on the effects of aging on the monkey brain; (2) Validation of the MRI/MRS findings with post-mortem data on the same brains. [unreadable] [unreadable] [unreadable]..
- Exploration of Stereo Display for Lung Cancer ScreeningXiao Hui Wang; Fiscal Year: 2005..We expect to demonstrate that the use of a stereo display for lung cancer screening will result in improved accuracy and efficiency, and this could greatly increase the efficacy of this screening process. ..
- Probabilistic Modeling of Information from Images and Text in Online JournalsRobert Murphy; Fiscal Year: 2008..unreadable] [unreadable] [unreadable]..
- Automated Literature Mining for Validation of High-Throughput Function PredictionKARIN MARIA VERSPOOR; Fiscal Year: 2010..It is time to truly integrate the biological literature into the protein function prediction problem. By doing so, we will enable a critical advance in high-throughput protein function prediction ..
- Computer Surgical Simulation for Craniofacial SurgeryJames Xia; Fiscal Year: 2008..In the United States each year, a significant number of patients undergo reconstructive surgery for these types of defects and deformities. [unreadable] [unreadable] [unreadable]..
- PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATIONDev Chakraborty; Fiscal Year: 2003..Also to be generated are iso-contour plots of the effects of common workstation variables on image quality in both tasks. This will allow digital mammography workstations to be more intelligently used. ..
- OBJECT RECOGNITION & NAVIGATION--NORMAL & LOW VISIONGORDON LEGGE; Fiscal Year: 2003..field loss, on the formation and use of cognitive maps. Their hypothesis is that cognitive maps, although difficult to learn with visual impairment, will be esp. beneficial to people with low vision. ..
- Detection of chewing and swallowing to estimate eating patterns and energy intakeEdward Sazonov; Fiscal Year: 2006..Modern methods of computational intelligence such as artificial neural networks and fuzzy logic will be used along with statistical methods to achieve the highest 'accuracy of pattern recognition. ..
- Statistical and Computational Methods for Systematically Mining the SNP and Gene Zhenqiu Liu; Fiscal Year: 2008..We hope our researches have the impact of encouraging more people to contribute to this challenging problem. [unreadable] [unreadable] [unreadable]..