tweeDEseq

This is the development version of tweeDEseq; for the stable release version, see tweeDEseq.

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


Bioconductor version: Development (3.21)

Differential expression analysis of RNA-seq using the Poisson-Tweedie (PT) family of distributions. PT distributions are described by a mean, a dispersion and a shape parameter and include Poisson and NB distributions, among others, as particular cases. An important feature of this family is that, while the Negative Binomial (NB) distribution only allows a quadratic mean-variance relationship, the PT distributions generalizes this relationship to any orde.

Author: Dolors Pelegri-Siso [aut, cre] (ORCID: ), Juan R. Gonzalez [aut] (ORCID: ), Mikel Esnaola [aut], Robert Castelo [aut]

Maintainer: Dolors Pelegri-Siso <dolors.pelegri at isglobal.org>

Citation (from within R, enter citation("tweeDEseq")):

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

Details

biocViews DNASeq, DifferentialExpression, ImmunoOncology, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.53.0
In Bioconductor since BioC 2.9 (R-2.14) (13 years)
License GPL (>= 2)
Depends R (>= 4.3.0)
Imports Rcpp (>= 1.0.10), MASS, limma, edgeR, parallel, cqn, grDevices, graphics, stats, utils
System Requirements
URL https://github.com/isglobal-brge/tweeDEseq/
Bug Reports https://github.com/isglobal-brge/tweeDEseq/issues
See More
Suggests tweeDEseqCountData, xtable
Linking To Rcpp
Enhances
Depends On Me
Imports Me ptmixed
Suggests Me
Links To Me
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Package Archives

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

Source Package tweeDEseq_1.53.0.tar.gz
Windows Binary (x86_64) tweeDEseq_1.53.0.zip
macOS Binary (x86_64) tweeDEseq_1.53.0.tgz
macOS Binary (arm64) tweeDEseq_1.53.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/tweeDEseq
Source Repository (Developer Access) git clone [email protected]:packages/tweeDEseq
Bioc Package Browser https://code.bioconductor.org/browse/tweeDEseq/
Package Short Url https://bioconductor.org/packages/tweeDEseq/
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