Multiobjective binary biogeography based optimization for feature selection using gene expression data

IEEE Transactions on Nanobioscience

Volumn 12, Issue 4, 2013, Pages 343-353

  Li, Xiangtao ^a   Yin, Minghao ^a  

^a NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

Gene expression data; gene selection; hybrid approach; multi objective binary biogeography based optimization

Indexed keywords

BIOGEOGRAPHY-BASED OPTIMIZATIONS; GENE EXPRESSION DATA; GENE SELECTION; HYBRID APPROACH; INFORMATIVE GENES; LEAVE-ONE-OUT CROSS VALIDATIONS; NON-DOMINATED SORTING; PARTICLE SWARM OPTIMIZATION ALGORITHM;

ALGORITHMS; BIOINFORMATICS; ECOLOGY; GENE EXPRESSION; PARTICLE SWARM OPTIMIZATION (PSO); STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

MULTIOBJECTIVE OPTIMIZATION;

ALGORITHM; ARTICLE; BIOLOGY; GENE EXPRESSION PROFILING; GENETICS; HUMAN; METABOLISM; METHODOLOGY; NEOPLASM; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; HUMANS; MODELS, STATISTICAL; NEOPLASMS; SUPPORT VECTOR MACHINES;

EID: 84892415597     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2013.2294716     Document Type: Article

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