Cell-type-specific 3D genome maps are hard to generate experimentally. Here, the authors develop Hi-Compass, a deep-learning framework that predicts chromatin interactions from accessibility data across variable sequencing depths, recovering chromatin loops and linking disease variants to target genes.
- Yuan-Chen Sun
- Wen-Jie Jiang
- Hua-Jun Wu
