Title | ||
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Isomatrix: A Framework To Visualize The Isoclines Of Matrix Games And Quantify Uncertainty In Structured Populations |
Abstract | ||
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A 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. |
Year | DOI | Venue |
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2021 | 10.1093/bioinformatics/btaa1025 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 22-23 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
jeffrey west | 1 | 1 | 1.04 |
Yongqian Ma | 2 | 0 | 0.34 |
Artem Kaznatcheev | 3 | 17 | 5.02 |
Alexander R. A. Anderson | 4 | 36 | 10.26 |