BPRMeth: Model higher-order methylation profiles
Version 1.2.0

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 <kapouranis.andreas@gmail.com>
LicenseGPL-3
Version1.2.0
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")

Try the BPRMeth package in your browser

Any scripts or data that you put into this service are public.

BPRMeth documentation built on May 31, 2017, 12:11 p.m.