Yuriko Harigaya

R package DetectGxT fits allelic-additivity nonlinear models with optional donor or polygenic random effects, raising simulated power to detect gene-by-treatment interaction QTLs over linear regression.

This paper introduces a method to classify gene-by-treatment interactions using Bayesian model selection and applies it to molecular count phenotypes with a software package.

The paper introduces TRIPOD, a nonparametric method to detect TF-target gene-accessibility relationships in multiomic data, validated across multiple datasets.

The paper identifies cell type-specific super-interactive promoters in blood lineage cells using Hi-C data and shows their association with ATAC-seq peaks and GWAS variants.