Dmitry Yarotsky

This paper compares nonlinear and linear models for genotype-to-phenotype prediction, showing nonlinear models can be more accurate with rich covariates and ensembling improves accuracy for asthma and hypothyroidism.

The paper presents methods to improve fetal variant calling accuracy in the presence of maternal cell contamination using Bayesian models and learned genotype-correction models.