Accurate cancer classification using expressions of very few genes

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 4, Issue 1, 2007, Pages 40-53

  Wang, Lipo ^a   Chu, Feng ^a   Xie, Wei ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Cancer classification; Fuzzy; Gene expression; Neural networks; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DATA REDUCTION; FEATURE EXTRACTION; GENES; LEARNING SYSTEMS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

CANCER CLASSIFICATION; DIAGNOSTIC RULES; MICROARRAY DATA;

TUMORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BIOLOGY; CLASSIFICATION; CLUSTER ANALYSIS; DNA MICROARRAY; FUZZY LOGIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; LIVER TUMOR; LYMPHOMA; METHODOLOGY; NEOPLASM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; FUZZY LOGIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LIVER NEOPLASMS; LYMPHOMA; NEOPLASMS; NEURAL NETWORKS (COMPUTER); OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 33847753038     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2007.1006     Document Type: Conference Paper

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