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

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.

Package details

AuthorNing Leng, Christina Kendziorski
Bioconductor views Bayesian DifferentialExpression GeneExpression HiddenMarkovModel ImmunoOncology MultipleComparison RNASeq Sequencing StatisticalMethod TimeCourse
MaintainerNing Leng <lengning1@gmail.com>
LicenseArtistic-2.0
Version1.22.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("EBSeqHMM")

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EBSeqHMM documentation built on April 29, 2020, 6:02 a.m.