Linked Life Data

19399185

Source:http://linkedlifedata.com/resource/pubmed/id/19399185

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-4-28
pubmed:abstractText
Morphologically similar cancers display heterogeneous patterns of molecular aberrations and follow substantially different clinical courses. This diversity has become the basis for the definition of molecular phenotypes, with significant implications for therapy. Microarray or proteomic expression profiling is conventionally employed to identify disease-associated genes, however, traditional approaches for the analysis of profiling experiments may miss molecular aberrations which define biologically relevant subtypes.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1932-6203
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e5337
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Messina: a novel analysis tool to identify biologically relevant molecules in disease.
pubmed:affiliation
Cancer Research Program, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Evaluation Studies