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Volumn 21, Issue , 2008, Pages 200-211
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Improving gene expression cancer molecular pattern discovery using nonnegative principal component analysis.
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Author keywords
[No Author keywords available]
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Indexed keywords
ALGORITHM;
ARTICLE;
BIOLOGICAL MODEL;
BIOLOGY;
BRAIN TUMOR;
CLASSIFICATION;
COLON TUMOR;
GENE EXPRESSION REGULATION;
GENE VECTOR;
GENETICS;
GLIOMA;
HUMAN;
LEUKEMIA;
LIVER CELL CARCINOMA;
LIVER TUMOR;
METHODOLOGY;
NEOPLASM;
PRINCIPAL COMPONENT ANALYSIS;
ALGORITHMS;
BRAIN NEOPLASMS;
CARCINOMA, HEPATOCELLULAR;
COLONIC NEOPLASMS;
COMPUTATIONAL BIOLOGY;
GENE EXPRESSION REGULATION, NEOPLASTIC;
GENETIC VECTORS;
GLIOMA;
HUMANS;
LEUKEMIA;
LIVER NEOPLASMS;
MODELS, GENETIC;
NEOPLASMS;
PRINCIPAL COMPONENT ANALYSIS;
MLCS;
MLOWN;
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EID: 67651227767
PISSN: 09199454
EISSN: None
Source Type: Journal
DOI: 10.1142/9781848163324_0017 Document Type: Article |
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Times cited : (6)
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References (0)
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