To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBSeqHMM")
    In most cases, you don't need to download the package archive at all.
| 
 | 
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see EBSeqHMM.
Bioconductor version: 3.3
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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("EBSeqHMM")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EBSeqHMM")
    
| R Script | HMM | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Bayesian, DifferentialExpression, GeneExpression, HiddenMarkovModel, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, TimeCourse | 
| Version | 1.6.0 | 
| In Bioconductor since | BioC 3.0 (R-3.1) (2 years) | 
| License | Artistic-2.0 | 
| Depends | EBSeq | 
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Package Source | EBSeqHMM_1.6.0.tar.gz | 
| Windows Binary | EBSeqHMM_1.6.0.zip | 
| Mac OS X 10.9 (Mavericks) | EBSeqHMM_1.6.0.tgz | 
| Subversion source | (username/password: readonly) | 
| Git source | https://github.com/Bioconductor-mirror/EBSeqHMM/tree/release-3.3 | 
| Package Short Url | http://bioconductor.org/packages/EBSeqHMM/ | 
| Package Downloads Report | Download Stats | 
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