Linked Life Data

12654174

Source:http://linkedlifedata.com/resource/pubmed/id/12654174

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2003-3-25
pubmed:abstractText
Exploiting the transcriptional regulation mechanism by microarray and bioinformatics is an important method at genomic research field, and it is better than previous methods, by which we can easily analyze the gene expression regulative networks at genomic level. This study was designed to analyze the glioma gene expression profiles by clustering and bioinformatic retrieving to seek some tumor development relative genes that can be cloned for the purpose of function research in the future.
pubmed:language
chi
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1000-467X
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
225-9
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
[Bioinformatic analysis of glioma development relative genes].
pubmed:affiliation
Department of Neurosurgery, The Second Hospital of Suzhou University, Suzhou, Jiangsu, 215004, P.R. China.
pubmed:publicationType
Journal Article, English Abstract, Research Support, Non-U.S. Gov't