A fast multivariate feature-selection/classification approach for prediction of therapy response in multiple sclerosis

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB'06

Volumn , Issue , 2006, Pages 312-319

  Mostafavi, S ^a   Baranzini, S ^b   Oksenberg, J ^b   Mousavi, P ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOCOMMUNICATIONS; BIOINFORMATICS; CHLORINE COMPOUNDS; DISCRIMINANT ANALYSIS; GENE EXPRESSION; INFORMATION SCIENCE; INTELLIGENT CONTROL; LEARNING ALGORITHMS; MODAL ANALYSIS;

CLASSIFICATION MODELS; CLASSIFICATION PERFORMANCE; COMPARATIVE STUDIES; COMPUTATIONAL BIOLOGY; COMPUTATIONAL INTELLIGENCE; COMPUTATIONAL TIME; FAST ORTHOGONAL SEARCH; FEATURE SELECTION; FEATURE SELECTION AND CLASSIFICATION; FEATURE SELECTIONS; GENE EXPRESSION DATA; GENE-GENE RELATIONSHIPS; MOLECULAR BIOMARKERS; MULTIPLE SCLEROSIS; PREDICTIVE MODELING; SEARCH MODELS;

CLASSIFICATION (OF INFORMATION);

EID: 33947521939     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2006.330952     Document Type: Conference Paper

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