Stochastic Cancer Model
Cross-source consensus on Stochastic Cancer Model from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Comparisons
Highlighted claims
- The stochastic cancer model treats all cancer cells as equivalent. — Senescent Cells in Growing Tumors: Population Dynamics and Cancer Stem Cells
- The stochastic model predicts rapid convergence to a steady senescent fraction rather than a delayed peak. — Senescent Cells in Growing Tumors: Population Dynamics and Cancer Stem Cells
- Persistent growth in the stochastic model requires the duplicated-cell probability condition 2(1 - p - q) greater than 1. — Senescent Cells in Growing Tumors: Population Dynamics and Cancer Stem Cells
- The stochastic model did not reproduce the observed late senescence peak followed by recovery unless hierarchy-like subpopulations were added. — Senescent Cells in Growing Tumors: Population Dynamics and Cancer Stem Cells