pubmed-article:17204163 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:17204163 | lifeskim:mentions | umls-concept:C0017337 | lld:lifeskim |
pubmed-article:17204163 | lifeskim:mentions | umls-concept:C0206522 | lld:lifeskim |
pubmed-article:17204163 | lifeskim:mentions | umls-concept:C0009085 | lld:lifeskim |
pubmed-article:17204163 | pubmed:issue | 1 | lld:pubmed |
pubmed-article:17204163 | pubmed:dateCreated | 2007-3-29 | lld:pubmed |
pubmed-article:17204163 | pubmed:abstractText | We present a Bayesian hierarchical model and Gibbs Sampling implementation that integrates gene expression, ChIP binding, and transcription factor motif data in a principled and robust fashion. COGRIM was applied to both unicellular and mammalian organisms under different scenarios of available data. In these applications, we demonstrate the ability to predict gene-transcription factor interactions with reduced numbers of false-positive findings and to make predictions beyond what is obtained when single types of data are considered. | lld:pubmed |
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pubmed-article:17204163 | pubmed:language | eng | lld:pubmed |
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pubmed-article:17204163 | pubmed:citationSubset | IM | lld:pubmed |
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pubmed-article:17204163 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17204163 | pubmed:issn | 1465-6914 | lld:pubmed |
pubmed-article:17204163 | pubmed:author | pubmed-author:StoeckertChri... | lld:pubmed |
pubmed-article:17204163 | pubmed:author | pubmed-author:ChenGuangG | lld:pubmed |
pubmed-article:17204163 | pubmed:author | pubmed-author:JensenShane... | lld:pubmed |
pubmed-article:17204163 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:17204163 | pubmed:volume | 8 | lld:pubmed |
pubmed-article:17204163 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17204163 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17204163 | pubmed:pagination | R4 | lld:pubmed |
pubmed-article:17204163 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:17204163 | pubmed:year | 2007 | lld:pubmed |
pubmed-article:17204163 | pubmed:articleTitle | Clustering of genes into regulons using integrated modeling-COGRIM. | lld:pubmed |
pubmed-article:17204163 | pubmed:affiliation | Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ggchen@pcbi.upenn.edu | lld:pubmed |
pubmed-article:17204163 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17204163 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
pubmed-article:17204163 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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