Stochastic Cancer Model
The stochastic model predicts rapid convergence to a steady senescent fraction rather than a delayed peak. The stochastic model did not reproduce the observed late senescence peak followed by recovery unless hierarchy-like subpopulations w…
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The stochastic model predicts rapid convergence to a steady senescent fraction rather than a delayed peak. The stochastic model did not reproduce the observed late senescence peak followed by recovery unless hierarchy-like subpopulations were added. The stochastic cancer model treats all cancer cells as equivalent. Persistent growth in the stochastic model requires the duplicated-cell probability condition 2(1 - p - q) greater than 1.