To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("baySeq")
In most cases, you don't need to download the package archive at all.
baySeq
|
This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see baySeq.
Empirical Bayesian analysis of patterns of differential expression in count data
Bioconductor version: 2.8
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
Author: Thomas J. Hardcastle
Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>
Citation (from within R,
enter citation("baySeq")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("baySeq")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("baySeq")
| baySeq.pdf | ||
| Reference Manual |
Details
| biocViews | Bioinformatics, DifferentialExpression, HighThroughputSequencing, MultipleComparisons, SAGE, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) (6.5 years) |
| License | GPL-3 |
| Depends | R (>= 2.3.0), methods |
| Imports | |
| LinkingTo | |
| Suggests | snow |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | oneChannelGUI, segmentSeq |
| Imports Me | segmentSeq |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | baySeq_1.6.0.tar.gz |
| Windows Binary | baySeq_1.6.0.zip |
| Mac OS X 10.6 (Snow Leopard) | |
| Mac OS X 10.9 (Mavericks) | |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/baySeq/tree/release-2.8 |
| Package Short Url | http://bioconductor.org/packages/baySeq/ |
| Package Downloads Report | Download Stats |
Documentation »
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