Integrating single-cell RNA-sequencing (scRNA-seq) with genome-wide association studies (GWAS) has shown promise in identifying critical cell types, states, and individual cells underlying heritable diseases. However, existing methods struggle to distinguish cell populations with correlated expression profiles but dist...
A. Turcan, Kangcheng Hou, K. Z. Lin et al.· medRxiv· 0 citations
Results indicate substantial cross-ancestry sharing of breast cancer polygenic architecture, highlight a consistent contribution of regulatory variation, and identify convergent cellular contexts that motivate functional follow-up and inform expectations for the transferability and attainable performance of common-vari...
James L. Li, Maria Zanti, Jacob Williams et al.· JNCI Cancer Spectrum· 0 citations
PopFS is introduced, a method for learning one shared, deployable feature set that is robust to population differences while letting each pop- ulation train its own model.
Ruiqi Lyu, A. Turcan, Bryan Wilder· 0 citations
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