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>
Package repositoryView on Bioconductor
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BPRMeth documentation built on May 31, 2017, 12:11 p.m.