Publications

A data-adaptive Bayesian regression approach for polygenic risk prediction

Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding

An unbiased kinship estimation method for genetic data analysis

Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants

A set of efficient methods to generate high-dimensional binary data with specified correlation structures

Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs

A novel transcriptional risk score for risk prediction of complex human diseases

Correcting statistical bias in correlation-based kinship estimators

Reduction of Human Mobility Matters during Early COVID-19 Outbreaks: Evidence from India, Japan and China

Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies