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: Release (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("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 |
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 |
| Imports | |
| System Requirements | |
| URL |
See More
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| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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/ |
| Package Downloads Report | Download Stats |