GEM: A manifold learning based framework for reconstructing spatial organizations of chromosomes
Guangxiang Zhu, Wenxuan Deng, Hailin Hu, Rui Ma, Sai Zhang, Jinglin Yang, Jian Peng, Tommy Kaplan, Jianyang Zeng
GEM reconstructs 3D chromatin structures from Hi-C data using manifold learning and conformational energy, outperforming existing methods and recovering long-range interactions.
Nucleic Acids Research · Jan 25, 2018Peer-reviewedBioinformatics