This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see EBSeqHMM.
Bioconductor version: 3.10
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 (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("EBSeqHMM")
For older versions of R, please refer to the appropriate Bioconductor release.
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, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, TimeCourse |
Version | 1.20.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (5.5 years) |
License | Artistic-2.0 |
Depends | EBSeq |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | EBSeqHMM_1.20.0.tar.gz |
Windows Binary | EBSeqHMM_1.20.0.zip |
Mac OS X 10.11 (El Capitan) | EBSeqHMM_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/EBSeqHMM |
Source Repository (Developer Access) | git clone [email protected]:packages/EBSeqHMM |
Package Short Url | https://bioconductor.org/packages/EBSeqHMM/ |
Package Downloads Report | Download Stats |
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