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.
|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 <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on GitHub|
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