EBSeq
This is the released version of EBSeq; for the devel version, see EBSeq.
An R package for gene and isoform differential expression analysis of RNA-seq data
Bioconductor version: Release (3.20)
Differential Expression analysis at both gene and isoform level using RNA-seq data
Author: Xiuyu Ma [cre, aut], Ning Leng [aut], Christina Kendziorski [ctb], Michael A. Newton [ctb]
Maintainer: Xiuyu Ma <watsonforfun at gmail.com>
Citation (from within R, enter
citation("EBSeq")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EBSeq")
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("EBSeq")
EBSeq Vignette | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod |
Version | 2.4.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (11 years) |
License | Artistic-2.0 |
Depends | blockmodeling, gplots, testthat, R (>= 3.0.0) |
Imports | Rcpp (>= 0.12.11), RcppEigen (>= 0.3.2.9.0) |
System Requirements | c++11 |
URL |
See More
Suggests | |
Linking To | Rcpp, RcppEigen, BH |
Enhances | |
Depends On Me | Oscope |
Imports Me | BatchQC, broadSeq, DEsubs, scDD |
Suggests Me | compcodeR |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | EBSeq_2.4.0.tar.gz |
Windows Binary (x86_64) | EBSeq_2.4.0.zip (64-bit only) |
macOS Binary (x86_64) | EBSeq_2.4.0.tgz |
macOS Binary (arm64) | EBSeq_2.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/EBSeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/EBSeq |
Bioc Package Browser | https://code.bioconductor.org/browse/EBSeq/ |
Package Short Url | https://bioconductor.org/packages/EBSeq/ |
Package Downloads Report | Download Stats |