{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T23:23:42Z","timestamp":1750461822186},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,4,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Unsupervised clustering of microarray data may detect potentially important, but not obvious characteristics of samples, for instance subgroups of diagnoses with distinct gene profiles or systematic errors in experimentation.<\/jats:p>\n               <jats:p>Results: Multidimensional clustering (mdclust) is a method, which identifies sets of sample clusters and associated genes. It applies iteratively two-means clustering and score-based gene selection.<\/jats:p>\n               <jats:p>For any phenotype variable best matching sets of clusters can be selected. This provides a method to identify gene\u2013phenotype associations, suited even for settings with a large number of phenotype variables. An optional model based discriminant step may reduce further the number of selected genes.<\/jats:p>\n               <jats:p>Availability: R-code and supplemental information available from http:\/\/martin-dugas.de\/mdclust\/<\/jats:p>\n               <jats:p>Supplementary information: \u00a0http:\/\/martin-dugas.de\/mdclust\/<\/jats:p>","DOI":"10.1093\/bioinformatics\/bth009","type":"journal-article","created":{"date-parts":[[2004,3,2]],"date-time":"2004-03-02T21:41:06Z","timestamp":1078263666000},"page":"931-936","source":"Crossref","is-referenced-by-count":10,"title":["mdclust\u2014exploratory microarray analysis by multidimensional clustering"],"prefix":"10.1093","volume":"20","author":[{"given":"M.","family":"Dugas","sequence":"first","affiliation":[]},{"given":"S.","family":"Merk","sequence":"additional","affiliation":[]},{"given":"S.","family":"Breit","sequence":"additional","affiliation":[]},{"given":"P.","family":"Dirschedl","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2004,1,29]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/6\/931\/48905305\/bioinformatics_20_6_931.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/6\/931\/48905305\/bioinformatics_20_6_931.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T17:59:50Z","timestamp":1674669590000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/20\/6\/931\/233463"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,1,29]]},"references-count":0,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2004,4,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bth009","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2004,4,12]]},"published":{"date-parts":[[2004,1,29]]}}}