Wei Jiang
Orcid: 0000-0001-6120-5278Affiliations:
- 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 11 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy.
Briefings Bioinform., January, 2023
2022
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
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