The impact of experimental design choices on parameter inference for models of growing cell colonies.

ABSTRACT: To better understand development, repair and disease progression, it is useful to quantify the behaviour of proliferative and motile cell populations as they grow and expand to fill their local environment. Inferring parameters associated with mechanistic models of cell colony growth using quantitative data collected from carefully designed experiments provides a natural means to elucidate the relative contributions of various processes to the growth of the colony. In this work, we explore how experimental design impacts our ability to infer parameters for simple models of the growth of proliferative and motile cell populations. We adopt a Bayesian approach, which allows us to characterize the uncertainty associated with estimates of the model parameters. Our results suggest that experimen

SUBMITTER: Parker A 

PROVIDER: S-EPMC6124093 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature