Bioconductor version: Release (3.15)
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] , Paul Bastide [aut] , Mélina Gallopin [aut] (0000-0002-2431-7825 )
Maintainer: Charlotte Soneson <charlottesoneson at gmail.com>
Citation (from within R,
enter citation("compcodeR")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("compcodeR")
HTML | R Script | compcodeR |
HTML | R Script | phylocompcodeR |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, ImmunoOncology, RNASeq, Software |
Version | 1.32.1 |
In Bioconductor since | BioC 2.14 (R-3.1) (8.5 years) |
License | GPL (>= 2) |
Depends | R (>= 4.0), sm |
Imports | tcltk, knitr (>= 1.2), markdown, ROCR, lattice (>= 0.16), gplots, gtools, caTools, grid, KernSmooth, MASS, ggplot2, stringr, modeest, edgeR, limma, vioplot, methods, stats, utils, ape, phylolm, matrixStats, grDevices, graphics |
LinkingTo | |
Suggests | BiocStyle, EBSeq, DESeq2(>= 1.1.31), baySeq(>= 2.2.0), genefilter, NOISeq, TCC, NBPSeq (>= 0.3.0), rmarkdown, phytools, phangorn, testthat, ggtree, tidytree, statmod, covr |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | compcodeR_1.32.1.tar.gz |
Windows Binary | compcodeR_1.32.1.zip |
macOS Binary (x86_64) | compcodeR_1.32.1.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 3.15 | Source Archive |
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