andreaskapou/BPRMeth-devel: Model higher-order methylation profiles
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.
Getting started
Browse package contents
Package details |
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| Author | Chantriolnt-Andreas Kapourani [aut, cre] |
| Bioconductor views | Bayesian Clustering Coverage DNAMethylation Epigenetics FeatureExtraction GeneExpression GeneRegulation Genetics KEGG RNASeq Regression Sequencing |
| Maintainer | Chantriolnt-Andreas Kapourani <kapouranis.andreas@gmail.com> |
| License | GPL-3 |
| Version | 0.99.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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