iMeta | RepliChrom: Cancer-associated enhancer-promoter interactions using DNA replication timing скачать в хорошем качестве

iMeta | RepliChrom: Cancer-associated enhancer-promoter interactions using DNA replication timing

RepliChrom: Interpretable machine learning predicts cancer-associated enhancer-promoter interactions using DNA replication timing Fuying Dao, Benjamin Lebeau, Crystal Chia Yin Ling, Mi Yang, Xueqin Xie, Melissa Jane Fullwood, Hao Lin, Hao Lyu First published: 27 May 2025 https://doi.org/10.1002/imt2.70052 Graphical Abstract RepliChrom is an interpretable machine learning model that predicts enhancer-promoter interactions using DNA replication timing across multiple cell types. By integrating replication timing with chromatin interaction data from multiple experimental platforms, it accurately distinguishes true interactions and reveals promoter-region signals as key regulatory drivers. Importantly, the RepliChrom uncovers cancer-specific chromatin patterns in leukemia, offering mechanistic insights into how replication timing shapes long-range gene regulation in both normal and diseased genomes.