BayesMendel: An R environment for Mendelian risk prediction

Statistical Applications in Genetics and Molecular Biology

Volumn 3, Issue 1, 2004, Pages

  Chen, Sining ^a   Wang, Wenyi ^b   Broman, Karl W ^b   Katki, Hormuzd A ^c   Parmigiani, Giovanni ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; GENE MUTATION; GENOTYPE; HUMAN; MOLECULAR MODEL; PHENOTYPE; PREDICTION; RISK ASSESSMENT; STATISTICAL ANALYSIS; BREAST CANCER; COLORECTAL CANCER; GENE LIBRARY; GENETIC EPIDEMIOLOGY; GENETIC PARAMETERS; GENETIC VARIABILITY; OVARY CANCER; PENETRANCE; PREVALENCE; STATISTICAL MODEL;

EID: 14644402540     PISSN: 15446115     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1063     Document Type: Article

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