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A. Turcan

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Open access Aug 2026

Conditional polygenic enrichment distinguishes causal from tagging disease-critical cell populations in single-cell RNA-seq

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. · 0 citations
Open access Sep 2026

Genetic and cellular architecture of breast cancer risk across ancestries.

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. · 0 citations
Preprint Aug 2026

Population-Robust Feature Selection via Generalized Welfare Optimization

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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