Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2002-9-9
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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1367-4803
pubmed:author
pubmed:issnType
Print
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1194-206
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Bayesian infinite mixture model based clustering of gene expression profiles.
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
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.