Null space based feature selection method for gene expression data

International Journal of Machine Learning and Cybernetics

Volumn 3, Issue 4, 2012, Pages 269-276

  Sharma, Alok ^a,b   Imoto, Seiya ^a   Miyano, Satoru ^a   Sharma, Vandana ^c  

^a UNIVERSITY OF TOKYO   (Japan)

^b UNIVERSITY OF THE SOUTH PACIFIC   (Fiji)

^c CWM Hospital   (Fiji)

Author keywords

Biological significance; Classification accuracy; DNA microarray gene expression data; Feature selection; Null space

Indexed keywords

BIOLOGICAL CHARACTERISTIC; BIOLOGICAL PHENOMENA; BIOLOGICAL SIGNIFICANCE; CLASSIFICATION ACCURACY; COMPUTATIONALLY EFFICIENT; DNA MICRO-ARRAY; FEATURE SELECTION METHODS; GENE EXPRESSION DATA; GENE EXPRESSION DATA ANALYSIS; GENE EXPRESSION DATASETS; NULL SPACE; SCATTER MATRIX; SUPERVISED CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; SOFTWARE ENGINEERING;

GENE EXPRESSION;

EID: 84868119274     PISSN: 18688071     EISSN: 1868808X     Source Type: Journal    
DOI: 10.1007/s13042-011-0061-9     Document Type: Article

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