BANDITS is a Bayesian hierarchical model for detecting differential splicing of genes and transcripts, via differential transcript usage (DTU), between two or more conditions. The method uses a Bayesian hierarchical framework, which allows for sample specific proportions in a Dirichlet-Multinomial model, and samples the allocation of fragments to the transcripts. Parameters are inferred via Markov chain Monte Carlo (MCMC) techniques and a DTU test is performed via a multivariate Wald test on the posterior densities for the average relative abundance of transcripts.
Package details |
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Author | Simone Tiberi [aut, cre], Mark D. Robinson [aut]. |
Bioconductor views | AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression Genetics MultipleComparison RNASeq Sequencing Software StatisticalMethod Transcription Visualization |
Maintainer | Simone Tiberi <simone.tiberi@uzh.ch> |
License | GPL (>= 3) |
Version | 1.6.0 |
URL | https://github.com/SimoneTiberi/BANDITS |
Package repository | View on Bioconductor |
Installation |
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