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Volumn 6, Issue , 2007, Pages 55-65
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Cancer molecular pattern discovery by subspace consensus kernel classification.
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Author keywords
[No Author keywords available]
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Indexed keywords
TUMOR MARKER;
TUMOR PROTEIN;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
CLUSTER ANALYSIS;
COMPUTER ASSISTED DIAGNOSIS;
DNA MICROARRAY;
GENE EXPRESSION PROFILING;
HUMAN;
METABOLISM;
METHODOLOGY;
NEOPLASM;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
CLUSTER ANALYSIS;
DIAGNOSIS, COMPUTER-ASSISTED;
GENE EXPRESSION PROFILING;
HUMANS;
NEOPLASM PROTEINS;
NEOPLASMS;
OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
TUMOR MARKERS, BIOLOGICAL;
MLCS;
MLOWN;
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EID: 38449103009
PISSN: 17527791
EISSN: None
Source Type: Journal
DOI: 10.1142/9781860948732_0010 Document Type: Article |
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Times cited : (7)
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References (0)
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