BIO-LGCA: A cellular automaton modelling class for analysing collective cell migration
Andreas Deutsch; Josué Manik Nava-Sedeño; Simon Syga; Haralampos Hatzikirou · 2021 · PLoS Computational Biology
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The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Collective dynamics in multicellular systems such as biological organs and tissues plays a key role in biological development, regeneration, and pathological conditions. Collective tissue dynamics-understood as population behaviour arising from the interplay of the constituting discrete cells-can be studied with on- and off-lattice agent-based models. However, classical on-lattice agent-based models, also known as cellular automata, fail to replicate key aspects of collective migration, which is a central instance of collective behaviour in multicellular systems. To overcome drawbacks of class
Abstract by Andreas Deutsch; Josué Manik Nava-Sedeño; Simon Syga; Haralampos Hatzikirou, PLoS Computational Biology (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pcbi.1009066