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.
Bioconductor version: Release (3.5)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("baySeq")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("baySeq")
R Script | Advanced baySeq analyses | |
R Script | baySeq | |
Reference Manual |
biocViews | DifferentialExpression, MultipleComparison, SAGE, Sequencing, Software |
Version | 2.10.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (8 years) |
License | GPL-3 |
Depends | R (>= 2.3.0), methods, GenomicRanges, abind, parallel |
Imports | edgeR |
LinkingTo | |
Suggests | BiocStyle, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | clusterSeq, EDDA, Rcade, segmentSeq, TCC |
Imports Me | debrowser, EDDA, metaseqR, riboSeqR |
Suggests Me | compcodeR, oneChannelGUI |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | baySeq_2.10.0.tar.gz |
Windows Binary | baySeq_2.10.0.zip |
Mac OS X 10.11 (El Capitan) | baySeq_2.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/baySeq |
Package Short Url | http://bioconductor.org/packages/baySeq/ |
Package Downloads Report | Download Stats |
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