Package: BANDITS
Type: Package
Title: BANDITS: Bayesian ANalysis of DIfferenTial Splicing
Version: 1.4.1
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, Transcription,
        StatisticalMethod, Visualization
License: GPL (>= 3)
Depends: R (>= 4.0.0)
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
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_11
git_last_commit: 09afe0c
git_last_commit_date: 2020-07-16
Date/Publication: 2020-07-22
NeedsCompilation: yes
Packaged: 2020-07-23 04:35:45 UTC; biocbuild
Built: R 4.0.2; i386-w64-mingw32; 2020-07-23 15:53:11 UTC; windows
Archs: i386, x64
