IsoMaTrix: a framework to visualize the isoclines of matrix games and quantify uncertainty in structured populations.
basic_science · Level V
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- Record sourced from PubMed, PMID 33325501.
- Also identified by DOI 10.1093/bioinformatics/btaa1025 and PMC identifier 8016459.
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Abstract
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. The code is available at: https://github.com/mathonco/isomatrix. Supplementary data are available at Bioinformatics online.