IsoMaTrix: a framework to visualize the isoclines of matrix games and quantify uncertainty in structured populations

Abstract Summary Evolutionary game theory describes frequency-dependent selection for fixed, heritable strategies in a population of competing individuals using a payoff matrix. We present a software package to aid in the construction, analysis and visualization of three-strategy matrix games. The I...

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Veröffentlicht in:Bioinformatics (Oxford, England) England), 2021-04, Vol.36 (22-23), p.5542-5544
Hauptverfasser: West, Jeffrey, Ma, Yongqian, Kaznatcheev, Artem, Anderson, Alexander R A
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Sprache:eng
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Zusammenfassung:Abstract Summary Evolutionary game theory describes frequency-dependent selection for fixed, heritable strategies in a population of competing individuals using a payoff matrix. We present a software package to aid in the construction, analysis and visualization of three-strategy matrix games. The IsoMaTrix package computes the isoclines (lines of zero growth) of matrix games, and facilitates direct comparison of well-mixed dynamics to structured populations on a lattice grid. IsoMaTrix computes fixed points, phase flow, trajectories, (sub)velocities and uncertainty quantification for stochastic effects in spatial matrix games. We describe a result obtained via IsoMaTrix’s spatial games functionality, which shows that the timing of competitive release in a cancer model (under continuous treatment) critically depends on the initial spatial configuration of the tumor. Availability and implementation The code is available at: https://github.com/mathonco/isomatrix. Supplementary information Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1367-4811
DOI:10.1093/bioinformatics/btaa1025