| pubmed-article:12217911 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:12217911 | lifeskim:mentions | umls-concept:C0026336 | lld:lifeskim |
| pubmed-article:12217911 | lifeskim:mentions | umls-concept:C0439962 | lld:lifeskim |
| pubmed-article:12217911 | lifeskim:mentions | umls-concept:C0009085 | lld:lifeskim |
| pubmed-article:12217911 | lifeskim:mentions | umls-concept:C1956267 | lld:lifeskim |
| pubmed-article:12217911 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
| pubmed-article:12217911 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
| pubmed-article:12217911 | pubmed:issue | 9 | lld:pubmed |
| pubmed-article:12217911 | pubmed:dateCreated | 2002-9-9 | lld:pubmed |
| pubmed-article:12217911 | pubmed:abstractText | The biologic significance of results obtained through cluster analyses of gene expression data generated in microarray experiments have been demonstrated in many studies. In this article we focus on the development of a clustering procedure based on the concept of Bayesian model-averaging and a precise statistical model of expression data. | lld:pubmed |
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| pubmed-article:12217911 | pubmed:language | eng | lld:pubmed |
| pubmed-article:12217911 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:12217911 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:12217911 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:12217911 | pubmed:month | Sep | lld:pubmed |
| pubmed-article:12217911 | pubmed:issn | 1367-4803 | lld:pubmed |
| pubmed-article:12217911 | pubmed:author | pubmed-author:MedvedovicMar... | lld:pubmed |
| pubmed-article:12217911 | pubmed:author | pubmed-author:SivaganesanSi... | lld:pubmed |
| pubmed-article:12217911 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:12217911 | pubmed:volume | 18 | lld:pubmed |
| pubmed-article:12217911 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:12217911 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:12217911 | pubmed:pagination | 1194-206 | lld:pubmed |
| pubmed-article:12217911 | pubmed:dateRevised | 2007-11-14 | lld:pubmed |
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| pubmed-article:12217911 | pubmed:year | 2002 | lld:pubmed |
| pubmed-article:12217911 | pubmed:articleTitle | Bayesian infinite mixture model based clustering of gene expression profiles. | lld:pubmed |
| pubmed-article:12217911 | pubmed:affiliation | Center for Genome Information, Department of Environmental Health, University of Cincinnati Medical Center, 3223 Eden Av. ML 56, Cincinnati, OH 45267-0056, USA. medvedm@email.uc.edu | lld:pubmed |
| pubmed-article:12217911 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:12217911 | pubmed:publicationType | Research Support, U.S. Gov't, P.H.S. | lld:pubmed |
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