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URL: http://gexp.kaist.ac.kr/figs/
Proper Citation: FiGS (RRID:SCR_012037)
Description: A web-based workbench to conveniently compare the classification performances of many different filter-based gene selection procedures. In addition to the commonly used filter metric-classifier combinations, user can test various additive methodological options by specification of only up- or down-regulated genes to select, applying feature discretization and adding feature vectors to make a new feature. Throughout the comprehensive comparisons, user can identify the best performing gene selection procedure and subsequent classification performance measured by .632+ bootstrap error estimation for the given binary (two-class) microarray data.
Abbreviations: FiGS
Synonyms: FiGS - Filter-based Gene Selection workbench for microarray analysis, Filter-based Gene Selection
Resource Type: analysis service resource, data analysis service, production service resource, service resource
Defining Citation: PMID:20100357
Keywords: microarray, classification, parallel computing, disease, gene set
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Korea Advanced Institute of Science and Technology; Daejeon; South Korea |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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