Movatterモバイル変換


[0]ホーム

URL:


Bioconductor 3.22 Released

Bioconductor home
Menu

BANDITS

This is thereleased version of BANDITS; for the devel version, seeBANDITS.

BANDITS: Bayesian ANalysis of DIfferenTial Splicing

Platform availability badgeRanking badgeSupport activity badgeYears in BioConductor badgeBuild results badgeLast commit badgeDependency count badge

DOI: 10.18129/B9.bioc.BANDITS


Bioconductor version: Release (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 unibo.it>

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")BiocManager::install("BANDITS")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BANDITS")
BANDITS: Bayesian ANalysis of DIfferenTial SplicingHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAlternativeSplicing,Bayesian,DifferentialExpression,DifferentialSplicing,GeneExpression,Genetics,MultipleComparison,RNASeq,Sequencing,Software,StatisticalMethod,Transcription,Visualization
Version1.26.0
In Bioconductor sinceBioC 3.9 (R-3.6) (6.5 years)
LicenseGPL (>= 3)
DependsR (>= 4.3.0)
ImportsRcpp,doRNG,MASS,data.table,R.utils,doParallel, parallel,foreach, methods, stats, graphics,ggplot2,DRIMSeq,BiocParallel
System RequirementsC++17
URLhttps://github.com/SimoneTiberi/BANDITS
Bug Reportshttps://github.com/SimoneTiberi/BANDITS/issues
See More
Suggestsknitr,rmarkdown,testthat,tximport,BiocStyle,GenomicFeatures,Biostrings
Linking ToRcpp,RcppArmadillo
Enhances
Depends On Me
Imports MeDifferentialRegulation
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageBANDITS_1.26.0.tar.gz
Windows Binary (x86_64) BANDITS_1.26.0.zip (64-bit only)
macOS Binary (x86_64)BANDITS_1.26.0.tgz
macOS Binary (arm64)BANDITS_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BANDITS
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BANDITS
Bioc Package Browserhttps://code.bioconductor.org/browse/BANDITS/
Package Short Urlhttps://bioconductor.org/packages/BANDITS/
Package Downloads ReportDownload Stats

[8]ページ先頭

©2009-2025 Movatter.jp