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pubmed-article:17217519 | pubmed:dateCreated | 2007-1-12 | lld:pubmed |
pubmed-article:17217519 | pubmed:abstractText | DNA microarrays are a powerful tool for monitoring the expression of tens of thousands of genes simultaneously. With the advance of microarray technology, the challenge issue becomes how to analyze a large amount of microarray data and make biological sense of them. Affymetrix GeneChips are widely used microarrays, where a variety of statistical algorithms have been explored and used for detecting significant genes in the experiment. These methods rely solely on the quantitative data, i.e., signal intensity; however, qualitative data are also important parameters in detecting differentially expressed genes. | lld:pubmed |
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pubmed-article:17217519 | pubmed:language | eng | lld:pubmed |
pubmed-article:17217519 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17217519 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:17217519 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17217519 | pubmed:issn | 1471-2105 | lld:pubmed |
pubmed-article:17217519 | pubmed:author | pubmed-author:FrommMichaelM | lld:pubmed |
pubmed-article:17217519 | pubmed:author | pubmed-author:LuGuoqingG | lld:pubmed |
pubmed-article:17217519 | pubmed:author | pubmed-author:XiaYuannanY | lld:pubmed |
pubmed-article:17217519 | pubmed:author | pubmed-author:NguyenThe VTV | lld:pubmed |
pubmed-article:17217519 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:17217519 | pubmed:volume | 7 Suppl 4 | lld:pubmed |
pubmed-article:17217519 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17217519 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17217519 | pubmed:pagination | S26 | lld:pubmed |
pubmed-article:17217519 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:17217519 | pubmed:year | 2006 | lld:pubmed |
pubmed-article:17217519 | pubmed:articleTitle | AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data. | lld:pubmed |
pubmed-article:17217519 | pubmed:affiliation | Department of Biology, University of Nebraska, Omaha, NE 68182, USA. glu3@mail.unomaha.edu | lld:pubmed |
pubmed-article:17217519 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17217519 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
pubmed-article:17217519 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
pubmed-article:17217519 | pubmed:publicationType | Evaluation Studies | lld:pubmed |
pubmed-article:17217519 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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