Gene selection: A Bayesian variable selection approach

Bioinformatics

Volumn 19, Issue 1, 2003, Pages 90-97

  Lee, Kyeong Eun ^a   Sha, Naijun ^c   Dougherty, Edward R ^a,b   Vannucci, Marina ^a   Mallick, Bani K ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c UNIVERSITY OF TEXAS AT EL PASO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRCA1 PROTEIN; BRCA2 PROTEIN; COMPLEMENTARY DNA; GENE PRODUCT;

ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER CLASSIFICATION; CANCER SUSCEPTIBILITY; CLINICAL ARTICLE; CONTROLLED STUDY; DNA MICROARRAY; FEMALE; GENE EXPRESSION PROFILING; GENE FREQUENCY; GENE IDENTIFICATION; GENETIC PREDISPOSITION; GENETIC SELECTION; GENETIC VARIABILITY; HUMAN; LEUKEMIA; MALE; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SAMPLE SIZE; STATISTICAL DISTRIBUTION; STATISTICAL MODEL;

EID: 12244265090     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/19.1.90     Document Type: Article

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