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This is a time-consuming process that normally depends on intricate statistical tools.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>geneCommittee is a web-based interactive tool for routinely evaluating the discriminative classification power of custom hypothesis in the form of biologically relevant gene sets. While the user can work with different gene set collections and several microarray data files to configure specific classification experiments, the tool is able to run several tests in parallel. Provided with a straightforward and intuitive interface, geneCommittee is able to render valuable information for diagnostic analyses and clinical management decisions based on systematically evaluating custom hypothesis over different data sets using complementary classifiers, a key aspect in clinical research.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>geneCommittee allows the enrichment of microarrays raw data with gene functional annotations, producing integrated datasets that simplify the construction of better discriminative hypothesis, and allows the creation of a set of complementary classifiers. The trained committees can then be used for clinical research and diagnosis. Full documentation including common use cases and guided analysis workflows is freely available at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/sing.ei.uvigo.es\/GC\/\" ext-link-type=\"uri\">http:\/\/sing.ei.uvigo.es\/GC\/<\/jats:ext-link>.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-15-31","type":"journal-article","created":{"date-parts":[[2014,1,30]],"date-time":"2014-01-30T02:01:40Z","timestamp":1391047300000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["geneCommittee: a web-based tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification"],"prefix":"10.1186","volume":"15","author":[{"given":"Miguel","family":"Reboiro-Jato","sequence":"first","affiliation":[]},{"given":"Joel P","family":"Arrais","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Luis","family":"Oliveira","sequence":"additional","affiliation":[]},{"given":"Florentino","family":"Fdez-Riverola","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,1,30]]},"reference":[{"issue":"6","key":"6287_CR1","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1093\/bioinformatics\/btp038","volume":"25","author":"DM Rocke","year":"2009","unstructured":"Rocke DM, Ideker T, Troyanskaya O, Quackenbush J, Dopazo J: Papers on normalization, variable selection, classification or clustering of microarray data. 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