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.
To access the vignettes, type:
Simone Tiberi [aut, cre], Mark D. Robinson [aut].
Maintainer: Simone Tiberi <firstname.lastname@example.org>
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.