Cancer classification and prediction using logistic regression with Bayesian gene selection

Journal of Biomedical Informatics

Volumn 37, Issue 4, 2004, Pages 249-259

  Zhou, Xiaobo ^a,b   Liu, Kuang Yu ^a,b   Wong, Stephen T C ^a,b  

^a The Harvard Center for Neurodegeneration & Repair   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Bayesian gene selection; Cancer classification; Gene microarray; Logistic regression

Indexed keywords

ACUTE LEUKEMIA; ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER CLASSIFICATION; DNA MICROARRAY; FAMILIAL CANCER; GENE EXPRESSION; GENETIC ANALYSIS; HUMAN; LOGISTIC REGRESSION ANALYSIS; MONTE CARLO METHOD; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SMALL CELL SARCOMA; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DIAGNOSIS, COMPUTER-ASSISTED; GENE EXPRESSION PROFILING; GENETIC SCREENING; HUMANS; LOGISTIC MODELS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 4744364173     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2004.07.009     Document Type: Article

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