<p>(a) Cells are initialized as a monolayer with four endothelial cells (red) representing cross-section of blood vessels perpendicular to the plane of simulation. (b) Simulation workflow. In the initial regime nutrients are allowed to diffuse into the system to generate a steady-state distribution, during which cells metabolize without changing their size or phenotype. After the fields have stabilized, the simulation is started and is run in iterative cycles of Monte Carlo steps (MCS). After each MCS, each cell performs metabolic trafficking, and is probed for cell division. Upon division, a potential mutation event is triggered in the daughter cells. Inset: unbiased parameters from 10<sup>4</sup> cells after <i>t</i> = 1, 5, 10, …, 5 × 10...
<p>Profiles of example simulation runs over time. In (A), the first strain goes extinct before a mut...
Netlogo simulation of 5000 cells. Cancer cells are depicted as small arrows (red, yellow or grey fo...
Simulations for a model of early stage wound healing. The proliferative hub region is able to grow u...
<p>(<b>A</b>) A simulated tumor. Different colors represent different clones. White rectangles label...
<p>X-axis: timepoint (n). Y-axis: random realizations of T cells in generation 1. The green lines re...
<p>Time evolution of: populations by cell type (top), local fitness by cell type (middle), and neigh...
<p>(a) Clonal expansion. Model configurations of the same population at t = 1500 MCS and t = 6000 MC...
<p><b>A</b>: Multiagent computer simulation of the “extrinsic” and “intrinsic” mechanisms. Cells mig...
<p>(A) Within each cell the concentrations of lactose, LacYZ and LacI are simulated, as well as the ...
<p>(A) Initial condition of a simulation with seven initially non-adherent circular cells. Each cell...
<p>The growth of the primary tumour and metastases are modelled via the mathematical function <i>x(t...
<p>Different colors correspond to different damage levels. In each time step of the computational mo...
<p>(<b>A</b>) Two representations of cells in the model during static equilibrium: (left) space-fill...
<p>(A) Full equilibrium (FE). (B) Shifting mosaic steady state (SMSS). A total of 10,000 patches wer...
<p><b>A</b>: Results of a typical run at the exponential growth phase and at equilibrium (type A cel...
<p>Profiles of example simulation runs over time. In (A), the first strain goes extinct before a mut...
Netlogo simulation of 5000 cells. Cancer cells are depicted as small arrows (red, yellow or grey fo...
Simulations for a model of early stage wound healing. The proliferative hub region is able to grow u...
<p>(<b>A</b>) A simulated tumor. Different colors represent different clones. White rectangles label...
<p>X-axis: timepoint (n). Y-axis: random realizations of T cells in generation 1. The green lines re...
<p>Time evolution of: populations by cell type (top), local fitness by cell type (middle), and neigh...
<p>(a) Clonal expansion. Model configurations of the same population at t = 1500 MCS and t = 6000 MC...
<p><b>A</b>: Multiagent computer simulation of the “extrinsic” and “intrinsic” mechanisms. Cells mig...
<p>(A) Within each cell the concentrations of lactose, LacYZ and LacI are simulated, as well as the ...
<p>(A) Initial condition of a simulation with seven initially non-adherent circular cells. Each cell...
<p>The growth of the primary tumour and metastases are modelled via the mathematical function <i>x(t...
<p>Different colors correspond to different damage levels. In each time step of the computational mo...
<p>(<b>A</b>) Two representations of cells in the model during static equilibrium: (left) space-fill...
<p>(A) Full equilibrium (FE). (B) Shifting mosaic steady state (SMSS). A total of 10,000 patches wer...
<p><b>A</b>: Results of a typical run at the exponential growth phase and at equilibrium (type A cel...
<p>Profiles of example simulation runs over time. In (A), the first strain goes extinct before a mut...
Netlogo simulation of 5000 cells. Cancer cells are depicted as small arrows (red, yellow or grey fo...
Simulations for a model of early stage wound healing. The proliferative hub region is able to grow u...