Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data

Neuroscience

• Hidden Markov Model 100%
• Neural Network 100%
• Transcription Factors 50%
• Epigenetics 50%
• Epigenome 50%
• Paired-End Tag 50%
• Replication Timing 50%

Biochemistry, Genetics and Molecular Biology

• Hidden Markov Model 100%
• Transcription Factor 50%
• Interaction Study 50%
• Epigenetics 50%
• Epigenome 50%
• Replication Timing 50%
• Paired-End Tag 50%

Keyphrases

• Graph Embedding Learning 100%
• Subcompartment 100%
• Topological Centrality 6%
• Transcription Factor Enrichment 6%
• Topological Clustering 6%