| pubmed-article:18786252 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C0006142 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C0020792 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C0007586 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C0752248 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C0079429 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C1516221 | lld:lifeskim |
| pubmed-article:18786252 | lifeskim:mentions | umls-concept:C1708225 | lld:lifeskim |
| pubmed-article:18786252 | pubmed:dateCreated | 2008-9-24 | lld:pubmed |
| pubmed-article:18786252 | pubmed:abstractText | Numerous studies have used microarrays to identify gene signatures for predicting cancer patient clinical outcome and responses to chemotherapy. However, the potential impact of gene expression profiling in cancer diagnosis, prognosis and development of personalized treatment may not be fully exploited due to the lack of consensus gene signatures and poor understanding of the underlying molecular mechanisms. | lld:pubmed |
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| pubmed-article:18786252 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18786252 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18786252 | pubmed:status | PubMed-not-MEDLINE | lld:pubmed |
| pubmed-article:18786252 | pubmed:issn | 1755-8794 | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:DunkerA... | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:PengSheng-Bin... | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:XiangYeY | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:ShuyuLiL | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:PalakalMathew... | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:HuangShuguang... | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:LiuJiangangJ | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:XiaYuniY | lld:pubmed |
| pubmed-article:18786252 | pubmed:author | pubmed-author:CampenAndrewA | lld:pubmed |
| pubmed-article:18786252 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:18786252 | pubmed:volume | 1 | lld:pubmed |
| pubmed-article:18786252 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18786252 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18786252 | pubmed:pagination | 39 | lld:pubmed |
| pubmed-article:18786252 | pubmed:dateRevised | 2010-9-22 | lld:pubmed |
| pubmed-article:18786252 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:18786252 | pubmed:articleTitle | Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data. | lld:pubmed |
| pubmed-article:18786252 | pubmed:affiliation | Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN 46285, USA. liu_jiangang@lilly.com | lld:pubmed |
| pubmed-article:18786252 | pubmed:publicationType | Journal Article | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:18786252 | lld:pubmed |
