A novel weighted support vector machine based on particle swarm optimization for gene selection and tumor classification

Computational and Mathematical Methods in Medicine

Volumn 2012, Issue , 2012, Pages

  Abdi, Mohammad Javad ^a   Hosseini, Seyed Mohammad ^a   Rezghi, Mansoor ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b SAHAND UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHIPS; CLASSIFICATION (OF INFORMATION); GENE EXPRESSION; PARTICLE SWARM OPTIMIZATION (PSO); TUMORS;

CLASSIFICATION ACCURACY; DETECTION MODELS; GENE EXPRESSION DATASETS; KERNEL PARAMETER; MINIMUM REDUNDANCY-MAXIMUM RELEVANCES; SUPPORT VECTOR MACHINE (SVMS); TUMOR CLASSIFICATION; WEIGHTED SUPPORT VECTOR MACHINE;

SUPPORT VECTOR MACHINES;

ACCURACY; ALGORITHM; ARTICLE; COMPUTER PROGRAM; DNA MICROARRAY; GENE EXPRESSION; GENETIC SELECTION; MACHINE LEARNING; PARTICLE SWARM OPTIMIZATION; SUPPORT VECTOR MACHINE; TUMOR CLASSIFICATION; ARTIFICIAL INTELLIGENCE; BIOLOGY; COLON TUMOR; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETIC DATABASE; GENETICS; HUMAN; LEUKEMIA; METHODOLOGY; NEOPLASM; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLONIC NEOPLASMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, LEUKEMIC; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LEUKEMIA; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES;

EID: 84864952538     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2012/320698     Document Type: Article

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