nhejazi/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis

This package provides facilities for differential methylation analysis based on variable importance measures (VIMs), a class of statistical target parameters that arise in causal inference. The estimation and inference procedures provided are nonparametric, relying on ensemble machine learning to flexibly assess functional relationships among covariates and the outcome of interest. These tools can be applied to differential methylation at the level of CpG sites, to obtain valid statistical inference even after corrections for multiple hypothesis testing.

Getting started

Package details

Bioconductor views Clustering DNAMethylation DifferentialMethylation MethylSeq MethylationArray
Licensefile LICENSE
URL https://github.com/nhejazi/methyvim
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
nhejazi/methyvim documentation built on April 30, 2020, 7:14 p.m.