pubmed-article:16503971 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C0007589 | lld:lifeskim |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C1704632 | lld:lifeskim |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C0871261 | lld:lifeskim |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C2911692 | lld:lifeskim |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C1706817 | lld:lifeskim |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C0205263 | lld:lifeskim |
pubmed-article:16503971 | lifeskim:mentions | umls-concept:C1511938 | lld:lifeskim |
pubmed-article:16503971 | pubmed:dateCreated | 2006-3-9 | lld:pubmed |
pubmed-article:16503971 | pubmed:abstractText | Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A common terminal data analysis step is to map pathways of potentially interrelated genes. | lld:pubmed |
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pubmed-article:16503971 | pubmed:language | eng | lld:pubmed |
pubmed-article:16503971 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:16503971 | pubmed:citationSubset | IM | lld:pubmed |
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pubmed-article:16503971 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:16503971 | pubmed:issn | 1471-2105 | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:StephensRR | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:TudorGG | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:ShoemakerR... | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:XiaoXX | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:DimitrovD SDS | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:PattonG WGW | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:LempickiR ARA | lld:pubmed |
pubmed-article:16503971 | pubmed:author | pubmed-author:SidorovI AIA | lld:pubmed |
pubmed-article:16503971 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:16503971 | pubmed:volume | 7 | lld:pubmed |
pubmed-article:16503971 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:16503971 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:16503971 | pubmed:pagination | 81 | lld:pubmed |
pubmed-article:16503971 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:16503971 | pubmed:year | 2006 | lld:pubmed |
pubmed-article:16503971 | pubmed:articleTitle | Transcriptomic response to differentiation induction. | lld:pubmed |
pubmed-article:16503971 | pubmed:affiliation | Screening Technologies Branch, Developmental Therapeutics Program, NCI-Frederick, Frederick, MD 21702, USA. gpatton@ncifcrf.gov | lld:pubmed |
pubmed-article:16503971 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:16503971 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
pubmed-article:16503971 | pubmed:publicationType | Research Support, N.I.H., Intramural | lld:pubmed |