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
Browse package contents
Package details |
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| Author | Simone Tiberi [aut, cre]. |
| 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 | 1.18.1 |
| URL | https://github.com/SimoneTiberi/BANDITS |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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