A modified binary particle swarm optimization for selecting the small subset of informative genes from gene expression data

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 6, 2011, Pages 813-822

  Mohamad, Mohd Saberi ^a   Omatu, Sigeru ^b   Deris, Safaai ^a   Yoshioka, Michifumi ^c  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b OSAKA INSTITUTE OF TECHNOLOGY   (Japan)

^c Osaka Prefecture University   (Japan)

Author keywords

Binary particle swarm optimization; gene expression data; gene selection; hybrid approach

Indexed keywords

BINARY PARTICLE SWARM OPTIMIZATION; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLASSIFICATION ACCURACY; COMPUTATIONAL INTELLIGENCE METHODS; GENE EXPRESSION DATA; GENE EXPRESSION DATASETS; GENE SELECTION; HIGH DIMENSIONS; HYBRID APPROACH; INFORMATIVE GENES; NUMBER OF SAMPLES; RUNNING TIME;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DISEASES; PARTICLE SWARM OPTIMIZATION (PSO); SET THEORY;

GENE EXPRESSION;

ALGORITHM; ARTICLE; CLASSIFICATION; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; HUMAN; METHODOLOGY; NEOPLASM; STATISTICAL MODEL; SYSTEM ANALYSIS;

ALGORITHMS; COMPUTER SIMULATION; DATABASES, GENETIC; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SYSTEMS INTEGRATION;

EID: 82155181627     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2167756     Document Type: Article

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