Hyunseung Kang

PETRO improves Perturb-seq analysis by reducing off-target bias and enabling robust target-level perturbation effect estimation.

CMAPS performs causal mediation analysis on perturbation screens to identify molecular intermediates, showing accurate mediation estimates and robust mediator identification in Perturb-seq data.

ADAPRE infers causal gene regulatory networks from Perturb-seq data by using adaptive instrumental variable modeling, improving accuracy over existing methods.

The paper uses BADGERS to identify risk factors and endophenotypes for late-onset Alzheimer's disease by analyzing biobank-wide data.

This paper introduces robust statistical tests for two-sample summary-data Mendelian randomization that control Type I error and improve power under weak instruments.

The paper performs a metabolome-wide association study to identify CSF metabolite-phenotype associations in neurological and psychiatric disorders.

This study identifies sex-specific genetic variants associated with facial attractiveness using a genome-wide association approach in 3,928 samples.