| pubmed-article:16859500 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:16859500 | lifeskim:mentions | umls-concept:C0006142 | lld:lifeskim |
| pubmed-article:16859500 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:16859500 | lifeskim:mentions | umls-concept:C0017262 | lld:lifeskim |
| pubmed-article:16859500 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
| pubmed-article:16859500 | lifeskim:mentions | umls-concept:C1516221 | lld:lifeskim |
| pubmed-article:16859500 | pubmed:issue | 4 | lld:pubmed |
| pubmed-article:16859500 | pubmed:dateCreated | 2007-1-16 | lld:pubmed |
| pubmed-article:16859500 | pubmed:abstractText | The potential of applying data analysis tools to microarray data for diagnosis and prognosis is illustrated on the recent breast cancer dataset of van 't Veer and coworkers. We re-examine that dataset using the novel technique of logical analysis of data (LAD), with the double objective of discovering patterns characteristic for cases with good or poor outcome, using them for accurate and justifiable predictions; and deriving novel information about the role of genes, the existence of special classes of cases, and other factors. | lld:pubmed |
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| pubmed-article:16859500 | pubmed:language | eng | lld:pubmed |
| pubmed-article:16859500 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:16859500 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:16859500 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:16859500 | pubmed:issn | 1465-542X | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:ReissMichaelM | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:AlexeSorinS | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:HammerPeter... | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:AlexeGabriela... | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:AxelrodDavid... | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:BonatesTibéri... | lld:pubmed |
| pubmed-article:16859500 | pubmed:author | pubmed-author:LozinaIrina... | lld:pubmed |
| pubmed-article:16859500 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:16859500 | pubmed:volume | 8 | lld:pubmed |
| pubmed-article:16859500 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:16859500 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:16859500 | pubmed:pagination | R41 | lld:pubmed |
| pubmed-article:16859500 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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| pubmed-article:16859500 | pubmed:meshHeading | pubmed-meshheading:16859500... | lld:pubmed |
| pubmed-article:16859500 | pubmed:meshHeading | pubmed-meshheading:16859500... | lld:pubmed |
| pubmed-article:16859500 | pubmed:meshHeading | pubmed-meshheading:16859500... | lld:pubmed |
| pubmed-article:16859500 | pubmed:meshHeading | pubmed-meshheading:16859500... | lld:pubmed |
| pubmed-article:16859500 | pubmed:meshHeading | pubmed-meshheading:16859500... | lld:pubmed |
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| pubmed-article:16859500 | pubmed:meshHeading | pubmed-meshheading:16859500... | lld:pubmed |
| pubmed-article:16859500 | pubmed:year | 2006 | lld:pubmed |
| pubmed-article:16859500 | pubmed:articleTitle | Breast cancer prognosis by combinatorial analysis of gene expression data. | lld:pubmed |
| pubmed-article:16859500 | pubmed:affiliation | RUTCOR (Rutgers University Center for Operations Research), Piscataway, New Jersey, USA. galexe@ias.edu | lld:pubmed |
| pubmed-article:16859500 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:16859500 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:16859500 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:16859500 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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