| Literature DB >> 33325501 |
Jeffrey West1, Yongqian Ma2, Artem Kaznatcheev3, Alexander R A Anderson1.
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. AVAILABILITY: The code is available at: https://github.com/mathonco/isomatrix. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.Entities:
Year: 2020 PMID: 33325501 PMCID: PMC8016459 DOI: 10.1093/bioinformatics/btaa1025
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937