BPRMeth: Model higher-order methylation profiles
Version 1.4.0

BPRMeth package uses the Binomial Probit Regression likelihood to model methylation profiles and extract higher order features. These features quantitate precisely notions of shape of a methylation profile. Using these higher order features across promoter-proximal regions, we construct a powerful predictor of gene expression. Also, these features are used to cluster proximal-promoter regions using the EM algorithm.

Package details

AuthorChantriolnt-Andreas Kapourani [aut, cre]
Bioconductor views Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics KEGG RNASeq Regression Sequencing
MaintainerChantriolnt-Andreas Kapourani <[email protected]>
LicenseGPL-3
Version1.4.0
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("BPRMeth")

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BPRMeth documentation built on Nov. 17, 2017, 10:13 a.m.