Chen Lin

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About

Biography

Chen Lin is a fifth-year Ph.D. candidate in the Department of Biostatistics. He is working in Zhao Lab, interested in developing statistical methods for population-scale genetic and genomic data.

Education & Training

BS: Fudan University, Mathematics and Applied Mathematics (2020)

Research

Publications

2023

Robustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression
Chen Lin, Wei Liu, Wei Jiang, Hongyu Zhao, Robustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression, Biology Methods and Protocols, Volume 8, Issue 1, 2023, bpad024, https://doi.org/10.1093/biomethods/bpad024
Peer-Reviewed Original Research

2021

MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization
Chen Lin, Kevin Wang & Samuel Mueller (2021) MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization, Journal of Computational and Graphical Statistics, 30:1, 125-132, DOI: 10.1080/10618600.2020.1779729
Peer-Reviewed Original Research

ORCIDs

Get In Touch

Contacts

c.lin@yale.edu

Biography

Education & Training

Publications

2023

Robustness of quantifying mediating effects of genetically regulated expression on complex traits with mediated expression score regression

2021

MCVIS: A New Framework for Collinearity Discovery, Diagnostic, and Visualization

ORCIDs

Contacts