Package: BANDITS
Type: Package
Title: BANDITS: Bayesian ANalysis of DIfferenTial Splicing
Version: 1.2.2
Date: 2019-02-19
Author: Simone Tiberi [aut, cre], Mark D. Robinson [aut].
Maintainer: Simone Tiberi <simone.tiberi@uzh.ch>
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.
biocViews: DifferentialSplicing, AlternativeSplicing, Bayesian,
        Genetics, RNASeq, Sequencing, DifferentialExpression,
        GeneExpression, MultipleComparison, Software, WorkflowStep,
        Transcription
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Imports: Rcpp, doRNG, MASS, data.table, doParallel, parallel, foreach,
        methods, stats, graphics, ggplot2, DRIMSeq, BiocParallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat, tximport, BiocStyle,
        GenomicFeatures, Biostrings
SystemRequirements: C++11
VignetteBuilder: knitr
RoxygenNote: 6.1.1
ByteCompile: true
URL: https://github.com/SimoneTiberi/BANDITS
BugReports: https://github.com/SimoneTiberi/BANDITS/issues
git_url: https://git.bioconductor.org/packages/BANDITS
git_branch: RELEASE_3_10
git_last_commit: e631dc7
git_last_commit_date: 2020-04-03
Date/Publication: 2020-04-03
NeedsCompilation: yes
Packaged: 2020-04-04 03:23:43 UTC; biocbuild
