NIH Reporter #5R00HG012373-05

Perturbation-response approaches to determining the regulatory networks underlying human complex traits

The award funds research to construct genome-wide causal networks using single cell CRISPR screen data to identify disease-relevant genes and pathways, providing a framework for understanding regulatory networks in complex trait biology.

Description

This project combines perturbation-response data with causal inference algorithms to build large-scale gene regulatory networks integrating gene expression with complex traits, aiming to improve understanding of disease mechanisms.

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