andreaskapou/BPRMeth-devel: Model higher-order methylation profiles
Version 0.99.2

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
Version0.99.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("andreaskapou/BPRMeth-devel")
andreaskapou/BPRMeth-devel documentation built on Nov. 20, 2017, 10:53 p.m.