Bioconductor-mirror/bridge: Bayesian Robust Inference for Differential Gene Expression
Version 1.41.0

Test for differentially expressed genes with microarray data. This package can be used with both cDNA microarrays or Affymetrix chip. The packge fits a robust Bayesian hierarchical model for testing for differential expression. Outliers are modeled explicitly using a $t$-distribution. The model includes an exchangeable prior for the variances which allow different variances for the genes but still shrink extreme empirical variances. Our model can be used for testing for differentially expressed genes among multiple samples, and can distinguish between the different possible patterns of differential expression when there are three or more samples. Parameter estimation is carried out using a novel version of Markov Chain Monte Carlo that is appropriate when the model puts mass on subspaces of the full parameter space.

Getting started

Package details

AuthorRaphael Gottardo
Bioconductor views DifferentialExpression Microarray OneChannel TwoChannel
MaintainerRaphael Gottardo <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
Bioconductor-mirror/bridge documentation built on June 1, 2017, 5:23 a.m.