Source:http://linkedlifedata.com/resource/pubmed/id/16023562
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
3
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pubmed:dateCreated |
2005-7-18
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pubmed:abstractText |
The goal of this study is to re-examine the oligonucleotide microarray dataset of Shipp et al., which contains the intensity levels of 6817 genes of 58 patients with diffuse large B-cell lymphoma (DLBCL) and 19 with follicular lymphoma (FL), by means of the combinatorics, optimisation, and logic-based methodology of logical analysis of data (LAD). The motivations for this new analysis included the previously demonstrated capabilities of LAD and its expected potential (1) to identify different informative genes than those discovered by conventional statistical methods, (2) to identify combinations of gene expression levels capable of characterizing different types of lymphoma, and (3) to assemble collections of such combinations that if considered jointly are capable of accurately distinguishing different types of lymphoma.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
0933-3657
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
34
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
235-67
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pubmed:dateRevised |
2007-11-15
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pubmed:meshHeading |
pubmed-meshheading:16023562-Combinatorial Chemistry Techniques,
pubmed-meshheading:16023562-Humans,
pubmed-meshheading:16023562-Logic,
pubmed-meshheading:16023562-Lymphoma, B-Cell,
pubmed-meshheading:16023562-Lymphoma, Follicular,
pubmed-meshheading:16023562-Lymphoma, Large B-Cell, Diffuse,
pubmed-meshheading:16023562-Models, Biological,
pubmed-meshheading:16023562-Models, Statistical,
pubmed-meshheading:16023562-Neural Networks (Computer)
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pubmed:year |
2005
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pubmed:articleTitle |
Logical analysis of diffuse large B-cell lymphomas.
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pubmed:affiliation |
Center for Systems Biology, Institute for Advanced Study, Einstein Drive, Princeton, NJ 08540, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
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