Xing Hua

Identifying High-Dimensional Genomic Factors Modulating Biological Networks Across Multi-Omics Data

GFBioNet identifies genomic factors modulating trait-trait relationships in multi-omics data, revealing host genetics, microbial taxa, and mutations affecting biological networks.

A prognostic signature for lung adenocarcinoma in people who have never smoked

The paper identifies three subtypes of NS-LUAD using RNA-seq data and develops a 60-gene signature that predicts survival across subgroups.

Population scale whole genome sequencing provides novel insights into cardiometabolic health

This study uses population-scale whole genome sequencing to identify novel rare protein-coding variants associated with cardiometabolic traits, revealing new biological mechanisms and gene functions.

MicrobiomeGWAS: a tool for identifying host genetic variants associated with microbiome composition

The paper introduces microbiomeGWAS, a tool to identify host genetic variants associated with microbiome composition using beta diversity metrics and corrects for statistical biases in pairwise distance data.

MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutations

The paper introduces MEGSA, a framework for analyzing mutual exclusivity of tumor mutations, identifying novel gene sets and associations in cancer types like AML and breast cancer.

Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

This paper improves polygenic risk scores by applying winners curse correction and variable thresholds to GWAS summary data, enhancing prediction accuracy for some diseases.