Bayesian Analysis of Differential Expression in RNA Sequencing
Data
Description
For RNA sequencing count data, BADER fits a Bayesian
hierarchical model. The algorithm returns the posterior
probability of differential expression for each gene between
two groups A and B. The joint posterior distribution of the
variables in the model can be returned in the form of posterior
samples, which can be used for further down-stream analyses
such as gene set enrichment.