{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T23:34:26Z","timestamp":1773876866142,"version":"3.50.1"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,6,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Microarray experiments generate large datasets with expression values for thousands of genes but not more than a few dozens of samples. Accurate supervised classification of tissue samples in such high-dimensional problems is difficult but often crucial for successful diagnosis and treatment. A promising way to meet this challenge is by using boosting in conjunction with decision trees.<\/jats:p>\n               <jats:p>Results: We demonstrate that the generic boosting algorithm needs some modification to become an accurate classifier in the context of gene expression data. In particular, we present a feature preselection method, a more robust boosting procedure and a new approach for multi-categorical problems. This allows for slight to drastic increase in performance and yields competitive results on several publicly available datasets.<\/jats:p>\n               <jats:p>Availability: Software for the modified boosting algorithms as well as for decision trees is available for free in R at http:\/\/stat.ethz.ch\/~dettling\/boosting.html<\/jats:p>\n               <jats:p>Contact: dettling@stat.math.ethz.ch<\/jats:p>\n               <jats:p>* To whom correspondence should be addressed.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btf867","type":"journal-article","created":{"date-parts":[[2003,6,11]],"date-time":"2003-06-11T20:12:00Z","timestamp":1055362320000},"page":"1061-1069","source":"Crossref","is-referenced-by-count":292,"title":["Boosting for tumor classification with gene expression data"],"prefix":"10.1093","volume":"19","author":[{"given":"Marcel","family":"Dettling","sequence":"first","affiliation":[{"name":"Seminar f\u00fcr Statistik, ETH Z\u00fcrich, CH-8092, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"B\u00fchlmann","sequence":"additional","affiliation":[{"name":"Seminar f\u00fcr Statistik, ETH Z\u00fcrich, CH-8092, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2003,6,12]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/9\/1061\/48904158\/bioinformatics_19_9_1061.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/9\/1061\/48904158\/bioinformatics_19_9_1061.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T16:52:43Z","timestamp":1674665563000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/9\/1061\/284948"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,6,12]]},"references-count":0,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2003,6,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btf867","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,6,12]]},"published":{"date-parts":[[2003,6,12]]}}}