methyvim
Bioc removedTargeted, Robust, and Model-free Differential Methylation Analysis
Release Lineage
Entered 3.6 · Oct 31, 2017
Removed after 3.12 · Oct 28, 2020
Description
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.
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Topics
People
- Nima Hejazi author maintainer cph
- Alan Hubbard contributor ths
- Rachael Phillips contributor
- Mark van der Laan author ths
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