{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T15:34:45Z","timestamp":1773243285792,"version":"3.50.1"},"reference-count":12,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001700","name":"Ministry of Education, Culture, Sports, Science and Technology of Japan","doi-asserted-by":"crossref","award":["24240042"],"award-info":[{"award-number":["24240042"]}],"id":[{"id":"10.13039\/501100001700","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>Molecular heterogeneity of cancer, partially caused by various chromosomal aberrations or gene mutations, can yield substantial heterogeneity in gene expression profile in cancer samples. To detect cancer-related genes which are active only in a subset of cancer samples or cancer outliers, several methods have been proposed in the context of multiple testing. Such cancer outlier analyses will generally suffer from a serious lack of power, compared with the standard multiple testing setting where common activation of genes across all cancer samples is supposed. In this paper, we consider information sharing across genes and cancer samples, via a parametric normal mixture modeling of gene expression levels of cancer samples across genes after a standardization using the reference, normal sample data. A gene-based statistic for gene selection is developed on the basis of a posterior probability of cancer outlier for each cancer sample. Some efficiency improvement by using our method was demonstrated, even under settings with misspecified, heavy-tailed<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mi>t<\/mml:mi><\/mml:mrow><\/mml:math>-distributions. An application to a real dataset from hematologic malignancies is provided.<\/jats:p>","DOI":"10.1155\/2013\/693901","type":"journal-article","created":{"date-parts":[[2013,4,10]],"date-time":"2013-04-10T17:01:25Z","timestamp":1365613285000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Cancer Outlier Analysis Based on Mixture Modeling of Gene Expression Data"],"prefix":"10.1155","volume":"2013","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5473-1488","authenticated-orcid":true,"given":"Keita","family":"Mori","sequence":"first","affiliation":[{"name":"Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan"},{"name":"Clinical Trial Coordination Office, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho Sunto-gun, Shizuoka 411-8777, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0872-8576","authenticated-orcid":true,"given":"Tomonori","family":"Oura","sequence":"additional","affiliation":[{"name":"Asia-Pacific Statistical Sciences, Lilly Research Laboratories Development Center of Excellence Asia Pacific, Eli Lilly Japan K. 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Sannomiya Plaza Building 7-1-5 Isogamidori, Chuo-ku, Kobe, Hyogo 651-0086, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2520-9949","authenticated-orcid":true,"given":"Hisashi","family":"Noma","sequence":"additional","affiliation":[{"name":"Department of Data Science, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shigeyuki","family":"Matsui","sequence":"additional","affiliation":[{"name":"Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan"},{"name":"Department of Data Science, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1038\/nature05945"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1038\/nrc2402"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1126\/science.1117679"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxl005"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxl029"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxm042"},{"key":"7","year":"2000"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti456"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1002\/sim.2862"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2008-10-187203"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/19.2.185"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl148"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/693901.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/693901.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2013\/693901.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,7,30]],"date-time":"2016-07-30T11:41:16Z","timestamp":1469878876000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/cmmm\/2013\/693901\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":12,"alternative-id":["693901","693901"],"URL":"https:\/\/doi.org\/10.1155\/2013\/693901","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}