Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysis
Danni Hong, Hongli Lin, Lifang Liu, Muya Shu, Jianwu Dai, Falong Lu, Mengsha Tong, Jialiang Huang
The paper introduces eNet, a method to build enhancer networks from single-cell data, showing complex networks regulate cell identity and disease genes better than existing models.
Briefings in Bioinformatics · Oct 25, 2022Peer-reviewedBioinformatics