Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data - Ashoor, Haitham; Chen, Xiaowen; Rosikiewicz, Wojciech; Wang, Jiahui; Cheng, Albert; Wang, Ping; Ruan, Yijun; Li, Sheng (Nature communications, 2020)
Keywords: 38/91; 45/23; 631/114/1305; 631/114/1314; 631/114/794; Algorithms; Artificial neural networks; Chromatin; Chromatin - genetics; Chromatin - metabolism; Cluster Analysis; Clustering; Compartments; Computer applications; Computer Graphics; Data Analysis; Embedding; Epigenome; Gene Expression; Genomes; Genomics - methods; Humanities and Social Sciences; Humans; K562 Cells; Learning; Machine learning; Markov Chains; multidisciplinary; Neural networks; Neural Networks, Computer; Predictions; Reproducibility of Results; Science; Science (multidisciplinary); Unsupervised learning; Unsupervised Machine Learning