HAT: Hypergraph analysis toolbox

Joshua Pickard, Can Chen, Rahmy Salman, Cooper Stansbury, Sion Kim, Amit Surana, Anthony Bloch and Indika Rajapakse

PLOS Computational Biology, 2023, vol. 19, issue 6, 1-7

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.Author summary: Classical networks typically focus on pairwise interactions and may overlook the intricate higher-order, multi-way interactions that occur among groups of nodes within a network. Our research has delved into the structural and dynamic characteristics of hypergraphs, which can effectively capture multi-way network interactions across various domains and data types. In this article, we introduce the Hypergraph Analysis Toolbox (HAT), a software package encompassing a range of techniques to identify, investigate, and visualize multi-way interactions in biological data.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1011190

DOI: 10.1371/journal.pcbi.1011190

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