A new gene selection approach based on Minimum Redundancy-Maximum Relevance (MRMR) and Genetic Algorithm (GA)

2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009

Volumn , Issue , 2009, Pages 69-75

  El Akadi, A ^a   Amine, A ^a   El Ouardighi, A ^b   Aboutajdine, D ^a  

^a FACULTÉ DES SCIENCES   (Morocco)

^b HASSAN 1ST UNIVERSITY   (Morocco)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ,; CLASSIFICATION PERFORMANCE; DATA SETS; GA ALGORITHM; GENE EXPRESSION DATA; GENE SELECTION; HIGH-DIMENSIONAL; INFORMATIVE GENES; MICROARRAY DATA; NUMBER OF SAMPLES; PRACTICAL IMPORTANCE; SELECTION ALGORITHM; TWO STAGE;

COMPUTER APPLICATIONS; GENE EXPRESSION; QUALITY ASSURANCE; REDUNDANCY; SUPPORT VECTOR MACHINES;

GENETIC ALGORITHMS;

EID: 70350022582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICCSA.2009.5069306     Document Type: Conference Paper

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