{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T09:15:11Z","timestamp":1768814111426,"version":"3.49.0"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,8,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: RankGene is a program for analyzing gene expression data and computing diagnostic genes based on their predictive power in distinguishing between different types of samples. The program integrates into one system a variety of popular ranking criteria, ranging from the traditional t-statistic to one-dimensional support vector machines. This flexibility makes RankGene a useful tool in gene expression analysis and feature selection.<\/jats:p>\n               <jats:p>Availability: http:\/\/genomics10.bu.edu\/yangsu\/rankgene<\/jats:p>\n               <jats:p>Contact: murali@bu.edu<\/jats:p>\n               <jats:p>* To whom correspondence should be addressed.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg179","type":"journal-article","created":{"date-parts":[[2003,8,11]],"date-time":"2003-08-11T18:07:26Z","timestamp":1060625246000},"page":"1578-1579","source":"Crossref","is-referenced-by-count":126,"title":["RankGene: identification of diagnostic genes\nbased on expression data"],"prefix":"10.1093","volume":"19","author":[{"given":"Yang","family":"Su","sequence":"first","affiliation":[]},{"given":"T.M.","family":"Murali","sequence":"additional","affiliation":[]},{"given":"Vladimir","family":"Pavlovic","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Schaffer","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Kasif","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2003,8,12]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/12\/1578\/48904568\/bioinformatics_19_12_1578.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/12\/1578\/48904568\/bioinformatics_19_12_1578.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T17:27:56Z","timestamp":1674667676000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/12\/1578\/257586"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,8,12]]},"references-count":0,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2003,8,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg179","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,8,12]]},"published":{"date-parts":[[2003,8,12]]}}}