{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T04:17:58Z","timestamp":1773116278811,"version":"3.50.1"},"reference-count":46,"publisher":"Oxford University Press (OUP)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,5,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Summary: A non-parametric Bayesian factor model is proposed for joint analysis of multi-platform genomics data. The approach is based on factorizing the latent space (feature space) into a shared component and a data-specific component with the dimensionality of these components (spaces) inferred via a beta-Bernoulli process. The proposed approach is demonstrated by jointly analyzing gene expression\/copy number variations and gene expression\/methylation data for ovarian cancer patients, showing that the proposed model can potentially uncover key drivers related to cancer.<\/jats:p><jats:p>Availability and implementation: The source code for this model is written in MATLAB and has been made publicly available at https:\/\/sites.google.com\/site\/jointgenomics\/<\/jats:p><jats:p>Contact: \u00a0catherine.ll.zheng@gmail.com<\/jats:p><jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu064","type":"journal-article","created":{"date-parts":[[2014,2,1]],"date-time":"2014-02-01T01:59:28Z","timestamp":1391219968000},"page":"1370-1376","source":"Crossref","is-referenced-by-count":69,"title":["Bayesian joint analysis of heterogeneous genomics data"],"prefix":"10.1093","volume":"30","author":[{"given":"Priyadip","family":"Ray","sequence":"first","affiliation":[{"name":"1 G.S.Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India, 2Computational Biology & Bioinformatics, Duke University, Durham, NC 27705, USA, 3Quintiles, Durham, NC 27703, USA and 4Electrical & Computer Engineering Department, Duke University, Durham, NC 27705, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingling","family":"Zheng","sequence":"additional","affiliation":[{"name":"1 G.S.Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India, 2Computational Biology & Bioinformatics, Duke University, Durham, NC 27705, USA, 3Quintiles, Durham, NC 27703, USA and 4Electrical & Computer Engineering Department, Duke University, Durham, NC 27705, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph","family":"Lucas","sequence":"additional","affiliation":[{"name":"1 G.S.Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India, 2Computational Biology & Bioinformatics, Duke University, Durham, NC 27705, USA, 3Quintiles, Durham, NC 27703, USA and 4Electrical & Computer Engineering Department, Duke University, Durham, NC 27705, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lawrence","family":"Carin","sequence":"additional","affiliation":[{"name":"1 G.S.Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India, 2Computational Biology & Bioinformatics, Duke University, Durham, NC 27705, USA, 3Quintiles, Durham, NC 27703, USA and 4Electrical & Computer Engineering Department, Duke University, Durham, NC 27705, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2014,1,30]]},"reference":[{"key":"2023041302472267000_","doi-asserted-by":"crossref","first-page":"2197","DOI":"10.1038\/sj.bjc.6601832","article-title":"Expression of EBAG9\/RCAS1 is associated with advanced disease in human epithelial ovarian cancer","volume":"90","author":"Akahira","year":"2004","journal-title":"Br. 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