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
Browse package contents
Package details |
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| Author | Marcos Prunello |
| Bioconductor views | DNAMethylation DifferentialExpression DifferentialMethylation GeneExpression GeneRegulation MethylationArray Network Pathways StatisticalMethod |
| Maintainer | Marcos Prunello <marcosprunello@gmail.com> |
| License | GPL-2 |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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