Abstract
Cell growth and division are stochastic processes that exhibit significant amount of cell-to-cell variation and randomness. In order to connect single cell division dynamics with overall cell population, stochastic population models are needed. We summarize the basic concepts, computational approaches and discuss simple applications of this modeling approach to understanding cancer cell population growth as well as population fluctuations in experiments.
Footnotes
Research supported by NIH 1R01GM075305 and NCI 1U54CA143868-01. S. X. Sun is with Whiting School of Engineering, Johns Hopkins University, Baltimore, MD. USA (410-516-4003; e-mail: ssun{at}jhu.edu).
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Posted December 03, 2015.
