An integrative framework for Bayesian variable selection with informative priors for identifying genes and pathways.

An integrative framework for Bayesian variable selection with informative priors for identifying genes and pathways.

The discovery of genetic or genomic markers plays a central role in the development of personalized medicine. A notable challenge exists when dealing with the high dimensionality of the data sets, as thousands of genes or millions of genetic variants are collected on a relatively small number of sub...

Full description

Bibliographic Details
Main Authors: Bin Peng, Dianwen Zhu, Bradley P Ander, Xiaoshuai Zhang, Fuzhong Xue, Frank R Sharp, Xiaowei Yang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23844055/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23844055/?tool=EBI

Similar Items