EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq data
Bioconductor version: Release (3.17)
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 "4.3") 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 | 1.40.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) (10 years) |
| License | Artistic-2.0 |
| Depends | blockmodeling, gplots, testthat, R (>= 3.0.0) |
| Imports | |
| Linking To | |
| Suggests | |
| System Requirements | |
| Enhances | |
| URL |
See More
| Depends On Me | EBSeqHMM, Oscope |
| Imports Me | DEsubs, scDD, scDDboost |
| Suggests Me | compcodeR |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | EBSeq_1.40.0.tar.gz |
| Windows Binary | EBSeq_1.40.0.zip |
| macOS Binary (x86_64) | EBSeq_1.40.0.tgz |
| macOS Binary (arm64) | EBSeq_1.40.0.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 |