{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:05:55Z","timestamp":1778756755358,"version":"3.51.4"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: The success of each method of cluster analysis depends on how well its underlying model describes the patterns of expression. Outlier-resistant and distribution-insensitive clustering of genes are robust against violations of model assumptions.<\/jats:p>\n               <jats:p>Results: A measure of dissimilarity that combines advantages of the Euclidean distance and the correlation coefficient is introduced. The measure can be made robust using a rank order correlation coefficient. A robust graphical method of summarizing the results of cluster analysis and a biological method of determining the number of clusters are also presented. These methods are applied to a public data set, showing that rank-based methods perform better than log-based methods.<\/jats:p>\n               <jats:p>Availability: Software is available from http:\/\/www.davidbickel.com.<\/jats:p>\n               <jats:p>Contact: dbickel@mail.mcg.edu<\/jats:p>\n               <jats:p>Supplementary Information: http:\/\/www.davidbickel.com will have updates and related articles<\/jats:p>\n               <jats:p>* To whom correspondence should be addressed.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg092","type":"journal-article","created":{"date-parts":[[2003,4,30]],"date-time":"2003-04-30T19:43:50Z","timestamp":1051731830000},"page":"818-824","source":"Crossref","is-referenced-by-count":41,"title":["Robust cluster analysis of microarray gene expression data \nwith the number of clusters determined biologically"],"prefix":"10.1093","volume":"19","author":[{"given":"David R.","family":"Bickel","sequence":"first","affiliation":[{"name":"Medical College of Georgia, Office of Biostatistics and Bioinformatics, 1120 Fifteenth St, AE-3037 Augusta, GA 30912-4900, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2003,5,1]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/7\/818\/48904301\/bioinformatics_19_7_818.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/7\/818\/48904301\/bioinformatics_19_7_818.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T17:22:59Z","timestamp":1674667379000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/7\/818\/197538"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,5,1]]},"references-count":0,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2003,5,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg092","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,5,1]]},"published":{"date-parts":[[2003,5,1]]}}}