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.
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This package is for version 2.13 of Bioconductor; for the stable, up-to-date release version, see EBSeq.
Bioconductor version: 2.13
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:
## 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 | |
| Reference Manual |
| biocViews | Software |
| Version | 1.2.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) (2.5 years) |
| License | Artistic-2.0 |
| Depends | blockmodeling, gplots, R (>= 2.10) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | TCC |
| Suggests Me | |
| Build Report |
Follow Installation instructions to use this package in your R session.
| Package Source | EBSeq_1.2.0.tar.gz |
| Windows Binary | EBSeq_1.2.0.zip |
| Mac OS X 10.6 (Snow Leopard) | EBSeq_1.2.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/EBSeq/tree/release-2.13 |
| Package Short Url | http://bioconductor.org/packages/EBSeq/ |
| Package Downloads Report | Download Stats |
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