Linked Life Data

12817886

Source:http://linkedlifedata.com/resource/pubmed/id/12817886

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2003-6-23
pubmed:abstractText
To predict the response of cells to chemotherapeutic agents based on gene expression profiles, we performed a chemoinformatic study of a set of standard anticancer agents assayed for activity against a panel of 60 human tumor-derived cell lines from the Developmental Therapeutics Program (DTP) at the National Cancer Institute (NCI).
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0724-8741
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
843-7
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
A rational approach to personalized anticancer therapy: chemoinformatic analysis reveals mechanistic gene-drug associations.
pubmed:affiliation
Department of Statistics, The University of Michigan, 428 Church Street, Ann Arbor, Michigan 48109, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't