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This is the development version of EBSeqHMM; for the stable release version, see EBSeqHMM.
Bioconductor version: Development (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")
):
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("EBSeqHMM")
For older versions of R, please refer to the appropriate Bioconductor release.
Reference Manual |
biocViews | Bayesian, DifferentialExpression, GeneExpression, HiddenMarkovModel, ImmunoOncology, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod, TimeCourse |
Version | 1.37.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (9 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 | |
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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 |
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