A novel framework for single-cell Hi-C clustering based on graph-convolution-based imputation and two-phase-based feature extraction
Caiwei Zhen, Yuxian Wang, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Jiajie Peng
This paper introduces ScHiC-Rep, a framework for single-cell Hi-C clustering that improves imputation and feature extraction, outperforming existing methods on human and mouse datasets.
bioRxiv · Apr 30, 2021 · PreprintBioinformatics