compcodeR

DOI: 10.18129/B9.bioc.compcodeR    

RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods

Bioconductor version: Release (3.14)

This package provides extensive functionality for comparing results obtained by different methods for differential expression analysis of RNAseq data. It also contains functions for simulating count data. Finally, it provides convenient interfaces to several packages for performing the differential expression analysis. These can also be used as templates for setting up and running a user-defined differential analysis workflow within the framework of the package.

Author: Charlotte Soneson [aut, cre]

Maintainer: Charlotte Soneson <charlottesoneson at gmail.com>

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

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("compcodeR")

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("compcodeR")

 

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PDF   Reference Manual
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Details

biocViews DifferentialExpression, ImmunoOncology, RNASeq, Software
Version 1.30.0
In Bioconductor since BioC 2.14 (R-3.1) (8 years)
License GPL (>= 2)
Depends sm
Imports tcltk, knitr (>= 1.2), markdown, ROCR, lattice (>= 0.16), gplots, gtools, caTools, grid, KernSmooth, MASS, ggplot2, stringr, modeest, edgeR, limma, vioplot, methods, utils, stats, grDevices, graphics
LinkingTo
Suggests BiocStyle, EBSeq, DESeq2(>= 1.1.31), baySeq(>= 2.2.0), genefilter, NOISeq, TCC, NBPSeq (>= 0.3.0), rmarkdown, testthat
SystemRequirements
Enhances rpanel, DSS
URL https://github.com/csoneson/compcodeR
BugReports https://github.com/csoneson/compcodeR/issues
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 compcodeR_1.30.0.tar.gz
Windows Binary compcodeR_1.30.0.zip
macOS 10.13 (High Sierra) compcodeR_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/compcodeR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/compcodeR
Package Short Url https://bioconductor.org/packages/compcodeR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

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