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Importantly, the implementation integrates gene selection and class prediction stages, which is vital for computing reliable performance estimates in small-sample scenarios. Additionally, the program includes automated and efficient model selection (optimization of parameters) for support vector machine (SVM) classifier. The distribution includes Linux and Windows\/Cygwin binaries. The program can easily be ported to other platforms.<\/jats:p>\n               <jats:p>Availability: Free download at<\/jats:p>\n               <jats:p>Contact: \u00a0ljubomir@sfsu.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti760","type":"journal-article","created":{"date-parts":[[2005,11,9]],"date-time":"2005-11-09T02:58:08Z","timestamp":1131505088000},"page":"245-247","source":"Crossref","is-referenced-by-count":19,"title":["PCP: a program for supervised classification of gene expression profiles"],"prefix":"10.1093","volume":"22","author":[{"given":"Ljubomir J.","family":"Buturovi\u0107","sequence":"first","affiliation":[{"name":"San Francisco State University \u00a0 1600 Holloway Avenue, San Francisco, CA 94132, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2005,11,8]]},"reference":[{"key":"2023012408303976700_b1","doi-asserted-by":"crossref","DOI":"10.1137\/1.9780898719604","volume-title":"LAPACK Users\u2019 Guide, Third Edition","author":"Anderson","year":"1999"},{"key":"2023012408303976700_b2","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1109\/TPAMI.1987.4767958","article-title":"Bayes error estimation using Parzen and k-NN procedures","volume":"PAMI-9","author":"Fukunaga","year":"1987","journal-title":"IEEE Trans. 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