{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:42:32Z","timestamp":1753875752014,"version":"3.41.2"},"reference-count":41,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T00:00:00Z","timestamp":1672185600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Hong Kong Special Administrative Region, China","award":["T12-710\/16-R","14303819"],"award-info":[{"award-number":["T12-710\/16-R","14303819"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Aberrant DNA methylation is the most common molecular lesion that is crucial for the occurrence and development of cancer, but has thus far been underappreciated as a clinical tool for cancer classification, diagnosis or as a guide for therapeutic decisions. Partly, this has been due to a lack of proven algorithms that can use methylation data to stratify patients into clinically relevant risk groups and subtypes that are of prognostic importance. Here, we proposed a novel Bayesian model to capture the methylation signatures of different subtypes from paired normal and tumor methylation array data. Application of our model to synthetic and empirical data showed high clustering accuracy, and was able to identify the possible epigenetic cause of a cancer subtype.<\/jats:p>","DOI":"10.1093\/bib\/bbac568","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T06:54:29Z","timestamp":1672210469000},"source":"Crossref","is-referenced-by-count":0,"title":["A Bayesian model for identifying cancer subtypes from paired methylation profiles"],"prefix":"10.1093","volume":"24","author":[{"given":"Yetian","family":"Fan","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Liaoning University , Shenyang, 110036 , China"},{"name":"Department of Statistics, The Chinese University of Hong Kong , Sha Tin, New Territories, Hong Kong SAR , China"}]},{"given":"April","family":"S Chan","sequence":"additional","affiliation":[{"name":"Department of Pathology, School of Clinical Medicine, The University of Hong Kong , Pokfulam, Hong Kong SAR , China"}]},{"given":"Jun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Sema4, Stamford , CT, 06902 , USA"},{"name":"Icahn School of Medicine at Mount Sinai , New York, NY , USA"}]},{"given":"Suet","family":"Yi Leung","sequence":"additional","affiliation":[{"name":"Department of Pathology, School of Clinical Medicine, The University of Hong Kong , Pokfulam, Hong Kong SAR , China"}]},{"given":"Xiaodan","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Statistics, The Chinese University of Hong Kong , Sha Tin, New Territories, Hong Kong SAR , China"}]}],"member":"286","published-online":{"date-parts":[[2022,12,28]]},"reference":[{"issue":"7592","key":"2023011917105439000_ref1","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1038\/nature16965","article-title":"Genomic analyses identify molecular subtypes of pancreatic 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