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.
Type
Publication
In F1000Research
Nima Hejazi
Assistant Professor of Biostatistics
My research lies at the intersection of causal inference and machine learning, developing flexible methodology for statistical inference tailored to modern experiments and observational studies in the biomedical and public health sciences.