Linked Life Data

20377458

Source:http://linkedlifedata.com/resource/pubmed/id/20377458

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-4-9
pubmed:abstractText
Between-pathway models (BPMs) are network motifs consisting of pairs of putative redundant pathways. In this article, we show how adding another source of high-throughput data--microarray gene expression data from knockout experiments--allows us to identify a compensatory functional relationship between genes from the two BPM pathways. We evaluate the quality of the BPMs from four different studies, and we describe how our methods might be extended to refine pathways.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1557-8666
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
477-87
pubmed:dateRevised
2011-11-1
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Evaluating between-pathway models with expression data.
pubmed:affiliation
Department of Computer Science, Tufts University, Medford, Massachusetts 02155, USA. hescott@cs.tufts.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, N.I.H., Extramural