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Weidong Tian

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Open access Jul 2026

scReGAT: Leveraging Knowledge of Regulatory Interactions to Predict Long-range Gene Regulation at Single-cell Resolution.

By integrating genome-wide association studies loci from Alzheimer's disease, multiple sclerosis, and schizophrenia, scReGAT identifies disease-associated cell types and uncovers candidate regulatory mechanisms underlying complex trait associations, positioning scReGAT as a robust and generalizable framework for decoding long-range gene regulation at single-cell resolution.

Baole Wen, Yanan Dang, Yu Zhang et al. · 0 citations

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