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pubmed-article:19557126 | lifeskim:mentions | umls-concept:C0752046 | lld:lifeskim |
pubmed-article:19557126 | lifeskim:mentions | umls-concept:C2825492 | lld:lifeskim |
pubmed-article:19557126 | lifeskim:mentions | umls-concept:C1882074 | lld:lifeskim |
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pubmed-article:19557126 | lifeskim:mentions | umls-concept:C1510941 | lld:lifeskim |
pubmed-article:19557126 | lifeskim:mentions | umls-concept:C1707513 | lld:lifeskim |
pubmed-article:19557126 | pubmed:issue | 6 | lld:pubmed |
pubmed-article:19557126 | pubmed:dateCreated | 2009-6-26 | lld:pubmed |
pubmed-article:19557126 | pubmed:abstractText | Technologies based on DNA microarrays have the potential to provide detailed information on genomic aberrations in tumor cells. In practice a major obstacle for quantitative detection of aberrations is the heterogeneity of clinical tumor tissue. Since tumor tissue invariably contains genetically normal stromal cells, this may lead to a failure to detect aberrations in the tumor cells. | lld:pubmed |
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pubmed-article:19557126 | pubmed:language | eng | lld:pubmed |
pubmed-article:19557126 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:19557126 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:19557126 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:19557126 | pubmed:issn | 1932-6203 | lld:pubmed |
pubmed-article:19557126 | pubmed:author | pubmed-author:ThomasAndrewA | lld:pubmed |
pubmed-article:19557126 | pubmed:author | pubmed-author:HolmbergLarsL | lld:pubmed |
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pubmed-article:19557126 | pubmed:author | pubmed-author:BotlingJohanJ | lld:pubmed |
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pubmed-article:19557126 | pubmed:author | pubmed-author:LambeMatsM | lld:pubmed |
pubmed-article:19557126 | pubmed:author | pubmed-author:BergqvistMich... | lld:pubmed |
pubmed-article:19557126 | pubmed:author | pubmed-author:MickePatrickP | lld:pubmed |
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pubmed-article:19557126 | pubmed:author | pubmed-author:WinquistJohan... | lld:pubmed |
pubmed-article:19557126 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:19557126 | pubmed:volume | 4 | lld:pubmed |
pubmed-article:19557126 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:19557126 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:19557126 | pubmed:pagination | e6057 | lld:pubmed |
pubmed-article:19557126 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:19557126 | pubmed:year | 2009 | lld:pubmed |
pubmed-article:19557126 | pubmed:articleTitle | Quantification of normal cell fraction and copy number neutral LOH in clinical lung cancer samples using SNP array data. | lld:pubmed |
pubmed-article:19557126 | pubmed:affiliation | Department of Medical Sciences, Uppsala University, Uppsala, Sweden. | lld:pubmed |
pubmed-article:19557126 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:19557126 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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