This is the development version of BANDITS; for the stable release version, see BANDITS.
BANDITS: Bayesian ANalysis of DIfferenTial SplicingBioconductor version: Development (3.22)
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.
Author: Simone Tiberi [aut, cre].
Maintainer: Simone Tiberi <simone.tiberi at uzh.ch>
Citation (from within R, entercitation("BANDITS")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("BANDITS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BANDITS")
BANDITS: Bayesian ANalysis of DIfferenTial Splicing HTML R Script Reference Manual PDF NEWS Text Details biocViews AlternativeSplicing, Bayesian, DifferentialExpression, DifferentialSplicing, GeneExpression, Genetics, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, Transcription, Visualization Version 1.25.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL (>= 3) Depends R (>= 4.3.0) Imports Rcpp, doRNG, MASS, data.table, R.utils, doParallel, parallel, foreach, methods, stats, graphics, ggplot2, DRIMSeq, BiocParallel System Requirements C++17 URL https://github.com/SimoneTiberi/BANDITS Bug Reports https://github.com/SimoneTiberi/BANDITS/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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