PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies. - Guangyuan Yang; Wei Jiang 019; Qiang Yang 001; Weichuan Yu (Bioinform., 2015)

GBOOST 2.0: A GPU-based tool for detecting gene-gene interactions with covariates adjustment in genome-wide association studies. - Meng Wang; Wei Jiang 019; Ronald Ching Wan Ma; Weichuan Yu (BIBM, 2016)

Power estimation and sample size determination for replication studies of genome-wide association studies. - Wei Jiang 019; Weichuan Yu (BMC Genom., 2016)

What is the probability of replicating a statistically significant association in genome-wide association studies? - Wei Jiang 019; Jing-Hao Xue; Weichuan Yu (Briefings Bioinform., 2017)

Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies. - Wei Jiang 019; Weichuan Yu (Bioinform., 2017)

A network approach to exploring the functional basis of gene-gene epistatic interactions in disease susceptibility. - Danny Kit-Sang Yip; Landon L. Chan; Iris K. Pang; Wei Jiang 019; Nelson L. S. Tang; Weichuan Yu; Kevin Y. Yip (Bioinform., 2018)

Xolik: finding cross-linked peptides with maximum paired scores in linear time. - Jiaan Dai; Wei Jiang 019; Fengchao Yu; Weichuan Yu (Bioinform., 2019)

Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. - Shuang Song 006; Wei Jiang 019; Lin Hou; Hongyu Zhao 003 (PLoS Comput. Biol., 2020)

Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. - Yiliang Zhang; Youshu Cheng; Wei Jiang 019; Yixuan Ye; Qiongshi Lu; Hongyu Zhao 003 (Briefings Bioinform., 2021)

An unbiased kinship estimation method for genetic data analysis. - Wei Jiang 019; Xiangyu Zhang; Siting Li; Shuang Song 006; Hongyu Zhao 003 (BMC Bioinform., 2022)

A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy. - Wenxuan Deng; Bolun Li; Jiawei Wang; Wei Jiang 019; Xiting Yan; Ningshan Li; Milica Vukmirovic; Naftali Kaminski; Jing Wang 003; Hongyu Zhao 003 (Briefings Bioinform., 2023)

LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information. - Zihan Dong; Wei Jiang 019; Hongyu Li; Andrew T. Dewan; Hongyu Zhao 003 (Briefings Bioinform., 2024)