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Computational Methods for Single-Cell Analysis of Genetic Effects on Gene Expression

Focus Populations

Project Goal

To develop methods for the analysis of individual genetic variation and its effects on gene expression at the single-cell level, considering heterogeneity of genetic effects both within and between cell types.

Results & Resources

This project benchmarked current single-cell expression quantitative trait loci (eQTL) analysis approaches to inform the development of Single Cell eQTL Factorization, a probabilistic model that uses factor analysis to jointly build a continuous representation of each cell type and the corresponding eQTL effect sizes of each learned cell type.


Lead Investigator

Alexis Battle
Alexis Battle