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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
22
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pubmed:dateCreated |
2000-11-28
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pubmed:abstractText |
In an effort to find gene regulatory networks and clusters of genes that affect cancer susceptibility to anticancer agents, we joined a database with baseline expression levels of 7,245 genes measured by using microarrays in 60 cancer cell lines, to a database with the amounts of 5,084 anticancer agents needed to inhibit growth of those same cell lines. Comprehensive pair-wise correlations were calculated between gene expression and measures of agent susceptibility. Associations weaker than a threshold strength were removed, leaving networks of highly correlated genes and agents called relevance networks. Hypotheses for potential single-gene determinants of anticancer agent susceptibility were constructed. The effect of random chance in the large number of calculations performed was empirically determined by repeated random permutation testing; only associations stronger than those seen in multiply permuted data were used in clustering. We discuss the advantages of this methodology over alternative approaches, such as phylogenetic-type tree clustering and self-organizing maps.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-10077610,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-10393844,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-10471540,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-10700175,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-1411538,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-2041050,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-2471065,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-3052284,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-6186379,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-7927540,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-7990160,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-8137292,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-8548753,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-8941723,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-8944026,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-8994024,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9122163,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9176394,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9398266,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9419376,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9454760,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9689080,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9843981,
http://linkedlifedata.com/resource/pubmed/commentcorrection/11027309-9872747
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Oct
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pubmed:issn |
0027-8424
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:day |
24
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pubmed:volume |
97
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
12182-6
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
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pubmed:year |
2000
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pubmed:articleTitle |
Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks.
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pubmed:affiliation |
Children's Hospital Informatics Program and Division of Endocrinology, Department of Medicine, Children's Hospital, 300 Longwood Avenue, Boston, MA 02115, USA. atul_butte@harvard.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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