Author

X. Ma

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Open access Aug 2026

Mapping enhancer–gene regulatory interactions from single-cell data

A family of classification models, scE2G, is introduced that predict enhancer–gene regulatory interactions from single-cell datasets and enable mapping of these interactions across diverse cell types and tissues and will enable accurate mapping of enhancer–gene regulatory interactions across thousands of human cell types.

Maya U. Sheth, Wei-Lin Qiu, X. Ma et al. · Nature Genetics · 1 citation

Open access Jul 2026

An encyclopedia of human enhancer–gene regulatory interactions

An encyclopedia of enhancer–gene regulatory interactions in the human genome is built, revealing global properties of enhancer networks, identifying differences in regulatory complexity across genes, and improving analyses linking noncoding variants to target genes and cell types for common, complex diseases.

A. Gschwind, Kristy S. Mualim, Alireza Karbalayghareh et al. · Nature · 6 citations