Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data-Reference-Cited by-同舟云学术

Bayesian data integration and variable selection for pan‐cancer survival prediction using protein expression data

Published:2019-10-03 Issue:1 Volume:76 Page:316-325
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Maity Arnab Kumar¹^ORCID,Bhattacharya Anirban²,Mallick Bani K.²,Baladandayuthapani Veerabhadran³

Affiliation:

1. Early Clinical Development Oncology StatisticsPfizer Inc. San Diego California

2. Department of StatisticsTexas A&M University College Station Texas

3. Department of BiostatisticsUniversity of Michigan Ann Arbor Michigan

Funder

National Institutes of Health

National Sleep Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13132

Reference52 articles.

1. Kinase-independent role for CRAF-driving tumour radioresistance via CHK2

2. A pan-cancer proteomic perspective on The Cancer Genome Atlas

3. Bayesian sparse graphical models for classification with application to protein expression data

4. Fast sampling with Gaussian scale mixture priors in high-dimensional regression

5. Dirichlet–Laplace Priors for Optimal Shrinkage

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