Bayesian kernel machine models for testing genetic pathway effects in prostate cancer prognosis
Author:
Affiliation:
1. Qiagen Sciences, Inc. Germantown Maryland
2. Department of Statistics University of Missouri Columbia Missouri
Funder
National Science Foundation
Publisher
Wiley
Subject
Computer Science Applications,Information Systems,Analysis
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11349
Reference37 articles.
1. American Cancer Society Cancer facts and figuresAmerican Cancer Society Atlanta GA 2014.
2. American Joint Committee Prostate AJCC cancer staging manual 7th Springer New York NY 2010.
3. Bayes factors and marginal distributions in invariant situations;Berger J.;Sankhya, Ser. A,1998
4. Oncogenic pathway signatures in human cancers as a guide to targeted therapies
5. Abiraterone and Increased Survival in Metastatic Prostate Cancer
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