To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("EBSeq")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("EBSeq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EBSeq")
R Script | EBSeq Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod |
Version | 1.16.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (4 years) |
License | Artistic-2.0 |
Depends | blockmodeling, gplots, testthat, R (>= 3.0.0) |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | EBSeqHMM, Oscope |
Imports Me | DEsubs, scDD |
Suggests Me | compcodeR |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | EBSeq_1.16.0.tar.gz |
Windows Binary | EBSeq_1.16.0.zip |
Mac OS X 10.11 (El Capitan) | EBSeq_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/EBSeq |
Package Short Url | http://bioconductor.org/packages/EBSeq/ |
Package Downloads Report | Download Stats |
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