tweeDEseq

DOI: 10.18129/B9.bioc.tweeDEseq    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see tweeDEseq.

RNA-seq data analysis using the Poisson-Tweedie family of distributions

Bioconductor version: 3.9

Differential expression analysis of RNA-seq using the Poisson-Tweedie family of distributions.

Author: Juan R Gonzalez <jrgonzalez at creal.cat> and Mikel Esnaola <mesnaola at creal.cat> (with contributions from Robert Castelo <robert.castelo at upf.edu>)

Maintainer: Juan R Gonzalez <jrgonzalez at creal.cat>

Installation

To install this package, start R (version "3.6") and enter:

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

BiocManager::install("tweeDEseq")

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

Documentation

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

browseVignettes("tweeDEseq")

 

PDF	R Script	tweeDEseq: analysis of RNA-seq data using the Poisson-Tweedie family of distributions
PDF		Reference Manual

Details

biocViews	DifferentialExpression, ImmunoOncology, RNASeq, Sequencing, Software, StatisticalMethod
Version	1.30.0
In Bioconductor since	BioC 2.9 (R-2.14) (8 years)
License	GPL (>= 2)
Depends	R (>= 2.12.0)
Imports	MASS, limma, edgeR, parallel, cqn
LinkingTo
Suggests	tweeDEseqCountData, xtable
SystemRequirements
Enhances
URL	http://www.creal.cat/jrgonzalez/software.htm
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	tweeDEseq_1.30.0.tar.gz
Windows Binary	tweeDEseq_1.30.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	tweeDEseq_1.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/tweeDEseq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/tweeDEseq
Package Short Url	https://bioconductor.org/packages/tweeDEseq/
Package Downloads Report	Download Stats