A Hierarchical Bayesian Model for Predicting the Functional Consequences of Amino-Acid Polymorphisms

DOI10.1111/J.1467-9876.2005.00478.XzbMath1490.62380OpenAlexW2012988422WikidataQ57430763 ScholiaQ57430763MaRDI QIDQ5757751

J. C. Whittaker, Daniel Chasman, Nigel Stallard, Claudio J. Verzilli

Publication date: 7 September 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2005.00478.x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

Bayesian Adaptive Regression Splines for Hierarchical Data

Uses Software

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Cites Work

• The elements of statistical learning. Data mining, inference, and prediction
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