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rdf:type |
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lifeskim:mentions |
umls-concept:C0012632,
umls-concept:C0036849,
umls-concept:C0085732,
umls-concept:C0220825,
umls-concept:C0234621,
umls-concept:C0336791,
umls-concept:C0370003,
umls-concept:C1366517,
umls-concept:C1442518,
umls-concept:C1519316,
umls-concept:C1552652,
umls-concept:C1552685,
umls-concept:C1705195,
umls-concept:C1956267,
umls-concept:C2347026
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pubmed:dateCreated |
2008-2-21
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pubmed:abstractText |
The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been developed to identify optimal gene expression signatures, the number of signature genes obtained is often overly large to be applied clinically. Furthermore, experimental verification is sometimes limited by the availability of wet-lab materials such as antibodies and reagents. A tool to evaluate the discrimination power of candidate genes is therefore in high demand by clinical researchers.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-10521349,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-11473023,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-11544480,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-11823860,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12162889,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12469122,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12490681,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12509396,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12640447,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12650611,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-12912841,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-14642662,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-14988123,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-15084694,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-15220918,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-15585531,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-15852500,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-15890742,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-15958165,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-16515583,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-16642009,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-16935928,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-17130137,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-17138587,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-17202451,
http://linkedlifedata.com/resource/pubmed/commentcorrection/18221568-8826848
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
9
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
58
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:18221568-Artificial Intelligence,
pubmed-meshheading:18221568-Cluster Analysis,
pubmed-meshheading:18221568-Diagnosis, Computer-Assisted,
pubmed-meshheading:18221568-Feasibility Studies,
pubmed-meshheading:18221568-Gene Expression,
pubmed-meshheading:18221568-Gene Expression Profiling,
pubmed-meshheading:18221568-Gene Expression Regulation, Neoplastic,
pubmed-meshheading:18221568-Genes, Neoplasm,
pubmed-meshheading:18221568-Internet,
pubmed-meshheading:18221568-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:18221568-Pattern Recognition, Automated,
pubmed-meshheading:18221568-Predictive Value of Tests,
pubmed-meshheading:18221568-Principal Component Analysis,
pubmed-meshheading:18221568-Selection Bias,
pubmed-meshheading:18221568-Software,
pubmed-meshheading:18221568-Tumor Markers, Biological
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pubmed:year |
2008
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pubmed:articleTitle |
Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene expression signatures.
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pubmed:affiliation |
Microarray & Gene Expression Analysis Core Facility, VGH National Yang-Ming University Genome Research Center, Taipei, Taiwan. chjen2@ym.edu.tw
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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