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...
Gespeichert in:
Veröffentlicht in: | Bioinformatics (Oxford, England) England), 2021-04, Vol.36 (22-23), p.5542-5544 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |