mpru/BIMEGA: BIMEGA: BIvariate Methylation and Expression GAussian mixture model

BIMEGA integrates methylation (MET) and gene expression (GE) data to identify genes regulated by hyper- or hypo-methylation. BIMEGA is based on a bivariate Gaussian mixture model to identify methylation states and compares them with the normal DNA methylation state. BIMEGA uses Differential Methylation value or DM-values, defined as the difference of a methylation state with the normal methylation state, to characterize each methylation state.

Getting started

Package details

AuthorMarcos Prunello
Bioconductor views DNAMethylation DifferentialExpression DifferentialMethylation GeneExpression GeneRegulation MethylationArray Network Pathways StatisticalMethod
MaintainerMarcos Prunello <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
mpru/BIMEGA documentation built on May 23, 2019, 6:34 a.m.