Jaron Arbet

This study examines how sex and ancestry influence the genomic heterogeneity of pancreatic adenocarcinoma across multiple datasets.

The paper quantifies urinary proteome differences between Black and White prostate cancer patients, finding immune pathway dysregulation and aggressive cancer features in Black patients after controlling for age, PSA, and cISUP.

This study maps epigenomic heterogeneity in prostate cancer by analyzing 3,001 methylomes and identifies four subtypes with distinct clinical and molecular features.

The paper analyzes genetic and health record data from a diverse population to uncover gene-phenotype associations and assess polygenic score performance across ancestries.

Metapipeline-DNA automates comprehensive analysis of DNA sequencing data from raw reads to visualization, supporting germline and somatic genomic features.

The paper quantifies the impact of genome build differences on variant calling and introduces StableLift, an algorithm to predict cross-build variant stability.