EBSeq
This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see EBSeq.
An R package for gene and isoform differential expression analysis of RNA-seq data
Bioconductor version: 3.16
Differential Expression analysis at both gene and isoform level using RNA-seq data
Author: Ning Leng, Christina Kendziorski
Maintainer: Ning Leng <lengning1 at gmail.com>
Citation (from within R, enter
citation("EBSeq")
):
Installation
To install this package, start R (version "4.2") 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 | 1.38.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (10.5 years) |
License | Artistic-2.0 |
Depends | blockmodeling, gplots, testthat, R (>= 3.0.0) |
Imports | |
System Requirements | |
URL |
See More
Suggests | |
Linking To | |
Enhances | |
Depends On Me | EBSeqHMM, Oscope |
Imports Me | DEsubs, scDD, scDDboost |
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_1.38.0.tar.gz |
Windows Binary | EBSeq_1.38.0.zip |
macOS Binary (x86_64) | EBSeq_1.38.0.tgz |
macOS Binary (arm64) | EBSeq_1.38.0.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 |
Old Source Packages for BioC 3.16 | Source Archive |