Linked Life Data

19535005

Source:http://linkedlifedata.com/resource/pubmed/id/19535005

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-7-6
pubmed:abstractText
The identification of miRNAs and their target mRNAs and the construction of their regulatory networks may give new insights into biological procedures. This study proposes a computational method to discover the functional miRNA-mRNA regulatory modules (FMRMs), that is, groups of miRNAs and their target mRNAs that are believed to participate cooperatively in post-transcriptional gene regulation under specific conditions. The proposed method identifies negatively regulated patterns of miRNAs and mRNAs which associate with cancer and normal conditions, respectively, in a prostate cancer data set. GO and the literature also suggest that they may relate with prostate cancer. It can potentially identify the biologically relevant chains of 'miRNA-->target gene --> condition'.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1532-0480
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
42
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
685-91
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Discovery of functional miRNA-mRNA regulatory modules with computational methods.
pubmed:affiliation
School of Computer and Information Science, University of South Australia, Mawson Lakes, SA 5095, Australia. Bing.Liu@unisa.edu.au
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't