EBSeqHMM

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.19 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see EBSeqHMM.

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


Bioconductor version: 3.19

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 (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EBSeqHMM")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews Bayesian, DifferentialExpression, GeneExpression, HiddenMarkovModel, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, TimeCourse
Version 1.38.0
In Bioconductor since BioC 3.0 (R-3.1) (10 years)
License Artistic-2.0
Depends EBSeq
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Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
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Source Repository git clone https://git.bioconductor.org/packages/EBSeqHMM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EBSeqHMM
Package Short Url https://bioconductor.org/packages/EBSeqHMM/
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