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 MultipleComparison RNASeq Sequencing StatisticalMethod TimeCourse
MaintainerNing Leng <[email protected]>
Package repositoryView on Bioconductor
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EBSeqHMM documentation built on Nov. 1, 2018, 2:35 a.m.