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rdf:type |
|
|
lifeskim:mentions |
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|
pubmed:issue |
7
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pubmed:dateCreated |
2003-5-1
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pubmed:abstractText |
Feature (gene) selection can dramatically improve the accuracy of gene expression profile based sample class prediction. Many statistical methods for feature (gene) selection such as stepwise optimization and Monte Carlo simulation have been developed for tissue sample classification. In contrast to class prediction, few statistical and computational methods for feature selection have been applied to clustering algorithms for pattern discovery.
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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:status |
MEDLINE
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pubmed:month |
May
|
|
pubmed:issn |
1367-4803
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|
pubmed:author |
|
|
pubmed:issnType |
Print
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|
pubmed:day |
1
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pubmed:volume |
19
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|
pubmed:owner |
NLM
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|
pubmed:authorsComplete |
Y
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pubmed:pagination |
811-7
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:12724290-Algorithms,
pubmed-meshheading:12724290-Animals,
pubmed-meshheading:12724290-Cluster Analysis,
pubmed-meshheading:12724290-Colonic Neoplasms,
pubmed-meshheading:12724290-Consensus Sequence,
pubmed-meshheading:12724290-Female,
pubmed-meshheading:12724290-Gene Expression Profiling,
pubmed-meshheading:12724290-Humans,
pubmed-meshheading:12724290-Leukemia,
pubmed-meshheading:12724290-Neoplasms,
pubmed-meshheading:12724290-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:12724290-Ovarian Neoplasms,
pubmed-meshheading:12724290-Pattern Recognition, Automated,
pubmed-meshheading:12724290-Reproducibility of Results,
pubmed-meshheading:12724290-Sensitivity and Specificity,
pubmed-meshheading:12724290-Sequence Alignment,
pubmed-meshheading:12724290-Sequence Analysis, DNA,
pubmed-meshheading:12724290-Software,
pubmed-meshheading:12724290-Systems Integration
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pubmed:year |
2003
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pubmed:articleTitle |
SamCluster: an integrated scheme for automatic discovery of sample classes using gene expression profile.
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|
pubmed:affiliation |
Beijing Institute of Basic Medical Sciences, PO Box 130(3), People's Republic of China. wujuli@yahoo.com
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't,
Evaluation Studies,
Validation Studies
|
