Feature selection and classification by using grid computing based evolutionary approach for the microarray data

Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

Volumn 9, Issue , 2010, Pages 85-89

  Chen, T C ^a   Hsieh, Y C ^a   You, P S ^b   Lee, Y C ^c  

^a NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^b NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^c WUFENG INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Genetic algorithm; Grid computing; Microarray; Tumor classification

Indexed keywords

CANCER CLASSIFICATION; COMPUTING INFRASTRUCTURES; DATA SETS; DISCRIMINANT FUNCTIONS; EVALUATION FUNCTION; EVOLUTIONARY APPROACH; EXISTING METHOD; FEATURE SELECTION AND CLASSIFICATION; GENE EXPRESSION PATTERNS; GENE SELECTION; KEY ATTRIBUTES; MICROARRAY DATA; MICROARRAY DATA SETS; MICROARRAY TECHNOLOGIES; RESPONSE MODEL; TUMOR CLASSIFICATION;

BIOINFORMATICS; COMPUTER SCIENCE; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; GENE EXPRESSION; GENETIC ALGORITHMS; INFORMATION TECHNOLOGY; TUMORS;

GRID COMPUTING;

EID: 77958568540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2010.5564986     Document Type: Conference Paper

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