Abstract
Recent advances in biological technologies, such as multi-way chromosome conformation capture (3C), require development of methods for analysis of multi-way interactions. Hypergraphs are mathematically tractable objects that can be utilized to precisely represent and analyze multi-way interactions. Here we present the Hypergraph Analysis Toolbox (HAT), a software package for visualization and analysis of multi-way interactions in complex systems.
Funder
Air Force Office of Science and Research
NSF
MathWorks
Publisher
Public Library of Science (PLoS)
Subject
Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics
Reference39 articles.
1. Networks beyond pairwise interactions: structure and dynamics;F Battiston;Physics Reports,2020
2. Benson AR, Gleich DF, Higham DJ. Higher-order network analysis takes off, fueled by classical ideas and new data. arXiv preprint arXiv:210305031. 2021.
3. Chen C, Liu YY. A survey on hyperlink prediction. arXiv preprint arXiv:2207.02911. 2022.
4. Capturing chromosome conformation;J Dekker;Science,2002
5. Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome;E Lieberman-Aiden;Science,2009
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