SimoneTiberi/BANDITS: BANDITS: Bayesian ANalysis of DIfferenTial Splicing

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.

Getting started

Package details

AuthorSimone Tiberi [aut, cre], Mark D. Robinson [aut].
Bioconductor views AlternativeSplicing Bayesian DifferentialExpression DifferentialSplicing GeneExpression Genetics MultipleComparison RNASeq Sequencing Software StatisticalMethod Transcription Visualization
MaintainerSimone Tiberi <simone.tiberi@uzh.ch>
LicenseGPL (>= 3)
Version1.5.1
URL https://github.com/SimoneTiberi/BANDITS
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("SimoneTiberi/BANDITS")
SimoneTiberi/BANDITS documentation built on Aug. 7, 2020, 10:17 p.m.