BANDITS-package: BANDITS: Bayesian ANalysis of DIfferenTial Splicing

Description Author(s)

Description

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.

Questions relative to BANDITS should be either written to the Bioconductor support site, tagging the question with 'BANDITS', or reported as a new issue at BugReports.

To access the vignettes, type: browseVignettes("BANDITS").

Author(s)

Simone Tiberi [aut, cre], Mark D. Robinson [aut].

Maintainer: Simone Tiberi <simone.tiberi@uzh.ch>


SimoneTiberi/BANDITS documentation built on Aug. 7, 2020, 10:17 p.m.