methyvim: Targeted, robust, and model-free differential methylation analysis

Abstract

methyvim is an R package providing facilities for nonparametric analysis of differential methylation using variable importance measures, a class of statistically estimable target parameters that arise in causal inference.

Publication
In F1000Research
Nima Hejazi
Nima Hejazi
NSF Postdoctoral Research Fellow in Biostatistics

My research interests lie at the intersection of causal inference and machine learning, especially as applied to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.