Minimum number of genes for microarray feature selection

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 5692-5695

  Baralis, Elena ^a   Bruno, Giulia ^a   Fiori, Alessandro ^a  

^a POLITECNICO DI TORINO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ECONOMIC AND SOCIAL EFFECTS; GENES;

CLASSIFICATION ACCURACY; EXPRESSION DATA; INFORMATION LOSS; MICROARRAY ANALYSIS; OPTIMAL NUMBER; REDUNDANT FEATURES; ROBUST LEARNING; SET COVERING ALGORITHMS;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DNA MICROARRAY; EVALUATION STUDY; GENE EXPRESSION PROFILING; HUMAN; METHODOLOGY; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; GENE EXPRESSION PROFILING; HUMANS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 61849144315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650506     Document Type: Conference Paper

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