Package: EBSeqHMM
Type: Package
Title: Bayesian analysis for identifying gene or isoform expression
        changes in ordered RNA-seq experiments
Version: 1.21.0
Date: 2015-03-21
Author: Ning Leng, Christina Kendziorski
Depends: EBSeq
Maintainer: Ning Leng <lengning1@gmail.com>
Description: 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.
License: Artistic-2.0
Collate: 'EBTest_ext.R' 'EBHMMNBfunForMulti.R' 'EBHMMNBfun.R'
        'EBHMMNBMultiEM_2chain.R' 'f0.R' 'LikefunNBHMM.R' 'beta.mom.R'
        'EBSeqHMMTest.R' 'GetConfidentCalls.R' 'GetDECalls.R'
        'GetAllPaths.R' 'PlotExp.R'
BuildVignettes: yes
biocViews: ImmunoOncology, StatisticalMethod, DifferentialExpression,
        MultipleComparison, RNASeq, Sequencing, GeneExpression,
        Bayesian, HiddenMarkovModel, TimeCourse
git_url: https://git.bioconductor.org/packages/EBSeqHMM
git_branch: master
git_last_commit: 3ce8c2c
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-06
NeedsCompilation: no
Packaged: 2019-11-07 04:01:51 UTC; biocbuild
Built: R 4.0.0; ; 2019-11-07 07:34:09 UTC; windows
