{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T12:45:13Z","timestamp":1762865113443,"version":"3.32.0"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"14","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,7,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Motivation: Identifying groups of co-regulated genes by monitoring their expression over various experimental conditions is complicated by the fact that such co-regulation is condition-specific. Ignoring the context-specific nature of co-regulation significantly reduces the ability of clustering procedures to detect co-expressed genes due to additional \u2018noise\u2019 introduced by non-informative measurements.<\/jats:p><jats:p>Results: We have developed a novel Bayesian hierarchical model and corresponding computational algorithms for clustering gene expression profiles across diverse experimental conditions and studies that accounts for context-specificity of gene expression patterns. The model is based on the Bayesian infinite mixtures framework and does not require a priori specification of the number of clusters. We demonstrate that explicit modeling of context-specificity results in increased accuracy of the cluster analysis by examining the specificity and sensitivity of clusters in microarray data. We also demonstrate that probabilities of co-expression derived from the posterior distribution of clusterings are valid estimates of statistical significance of created clusters.<\/jats:p><jats:p>Availability: The open-source package gimm is available at<\/jats:p><jats:p>Contact: Mario.Medvedovic@uc.edu<\/jats:p><jats:p>Supplementary information:<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl184","type":"journal-article","created":{"date-parts":[[2006,5,19]],"date-time":"2006-05-19T00:24:05Z","timestamp":1147998245000},"page":"1737-1744","source":"Crossref","is-referenced-by-count":24,"title":["Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset"],"prefix":"10.1093","volume":"22","author":[{"given":"X.","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Environmental Health, University of Cincinnati 1 \u00a0 1 \u00a0 \u00a0 3223 Eden Avenue ML 56, Cincinnati OH 45267, USA"},{"name":"Division of Biomedical Informatics, Cincinnati Children's Hospital Research Foundation 2 \u00a0 2 \u00a0 \u00a0 Cincinnati, OH 45229, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Sivaganesan","sequence":"additional","affiliation":[{"name":"Mathematical Sciences Department, University of Cincinnati 3 \u00a0 3 \u00a0 \u00a0 Cincinnati, OH 45221, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. 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