Feature selection by weighted-snr for cancer microarray data classification

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 12, 2009, Pages 4627-4635

  Hengpraprohm, Supoj ^a   Chongstitvatana, Prabhas ^b  

^a NAKHON PATHOM RAJABHAT UNIVERSITY   (Thailand)

^b CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

Cancer classification; Feature selection; Genetic programming; Microarray data analysis; Signal to noise ratio

Indexed keywords

APRIORI; CANCER CLASSIFICATION; CLASSIFICATION TASKS; DATA ANALYSIS; FEATURE SELECTION; FEATURE SELECTION METHODS; HIGH DIMENSIONAL DATA; MICROARRAY DATA; MICROARRAY DATA ANALYSIS; PREDICTION ACCURACY;

CLUSTERING ALGORITHMS; COMPUTER SOFTWARE SELECTION AND EVALUATION; GENETIC PROGRAMMING; SIGNAL TO NOISE RATIO;

CLASSIFICATION (OF INFORMATION);

EID: 74349096458     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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