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.
|Author||Andreas Neudecker, Matthias Katzfuss|
|Bioconductor views||DifferentialExpression RNASeq SAGE Sequencing Software|
|Maintainer||Andreas Neudecker <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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