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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBSeqHMM")

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EBSeqHMM

DOI: 10.18129/B9.bioc.EBSeqHMM    

Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments

Bioconductor version: Release (3.6)

The EBSeqHMM package implements an auto-regressive hidden Markov model for statistical analysis in ordered RNA-seq experiments (e.g. time course or spatial course data). The EBSeqHMM package provides functions to identify genes and isoforms that have non-constant expression profile over the time points/positions, and cluster them into expression paths.

Author: Ning Leng, Christina Kendziorski

Maintainer: Ning Leng <lengning1 at gmail.com>

Citation (from within R, enter citation("EBSeqHMM")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBSeqHMM")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("EBSeqHMM")

 

PDF R Script HMM
PDF   Reference Manual
Text   NEWS

Details

biocViews Bayesian, DifferentialExpression, GeneExpression, HiddenMarkovModel, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, TimeCourse
Version 1.12.0
In Bioconductor since BioC 3.0 (R-3.1) (3 years)
License Artistic-2.0
Depends EBSeq
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package EBSeqHMM_1.12.0.tar.gz
Windows Binary EBSeqHMM_1.12.0.zip
Mac OS X 10.11 (El Capitan) EBSeqHMM_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EBSeqHMM
Package Short Url http://bioconductor.org/packages/EBSeqHMM/
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