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BANDITS

BANDITS: Bayesian ANalysis of DIfferenTial Splicing

Bioconductor version: 3.23 · Package version: 1.28.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BANDITS")

Details

MaintainerSimone Tiberi <simone.tiberi@unibo.it>
AuthorSimone Tiberi [aut, cre].
LicenseGPL (>= 3)
URLhttps://github.com/SimoneTiberi/BANDITS
Bug Reportshttps://github.com/SimoneTiberi/BANDITS/issues
System RequirementsC++17
Downloads rank309
Source branchRELEASE_3_23
biocViewsAlternativeSplicing, Bayesian, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, Transcription, Visualization

Documentation

Download

Dependencies

Depends: R (>= 4.3.0)

Imports: Rcpp, doRNG, MASS, data.table, R.utils, doParallel, parallel, foreach, methods, stats, graphics, ggplot2, DRIMSeq, BiocParallel

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr, rmarkdown, testthat, tximport, BiocStyle, GenomicFeatures, Biostrings

Reverse dependencies

Imports Me (1): DifferentialRegulation