Wei Jiang

Orcid: 0000-0001-6120-5278

Affiliations:
  • Yale University, New Haven, CT, USA
  • Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (PhD 2016)


According to our database1, Wei Jiang authored at least 12 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
LDER-GE estimates phenotypic variance component of gene-environment interactions in human complex traits accurately with GE interaction summary statistics and full LD information.
Briefings Bioinform., 2024

2023
A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy.
Briefings Bioinform., January, 2023

2022
An unbiased kinship estimation method for genetic data analysis.
BMC Bioinform., 2022

2021
Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics.
Briefings Bioinform., 2021

2020
Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies.
PLoS Comput. Biol., 2020

2019
Xolik: finding cross-linked peptides with maximum paired scores in linear time.
Bioinform., 2019

2018
A network approach to exploring the functional basis of gene-gene epistatic interactions in disease susceptibility.
Bioinform., 2018

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.
Bioinform., 2017

What is the probability of replicating a statistically significant association in genome-wide association studies?
Briefings Bioinform., 2017

2016
Power estimation and sample size determination for replication studies of genome-wide association studies.
BMC Genom., 2016

GBOOST 2.0: A GPU-based tool for detecting gene-gene interactions with covariates adjustment in genome-wide association studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies.
Bioinform., 2015


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