To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("EBSeq")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
Differential Expression analysis at both gene and isoform level using RNA-seq data
Author: Ning Leng
Maintainer: Ning Leng <nleng at wisc.edu>
Citation (from within R,
enter citation("EBSeq")
):
To install this package, start R and enter:
source("http://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 | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod |
Version | 1.4.0 |
In Bioconductor since | BioC 2.13 (R-3.0) |
License | Artistic-2.0 |
Depends | blockmodeling, gplots, R (>= 3.0.0) |
Imports | |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | compcodeR |
Follow Installation instructions to use this package in your R session.
Package Source | EBSeq_1.4.0.tar.gz |
Windows Binary | EBSeq_1.4.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | EBSeq_1.4.0.tgz |
Mac OS X 10.9 (Mavericks) | EBSeq_1.4.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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