activity
20152018
most citedIntrinsic noise in systems with switching environments

110 citations · 198 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2018

Calculating normal tissue complication probabilities and probabilities of complication-free tumour control from stochastic models of population dynamics

Peter G. Hufton, Elizabeth Buckingham-Jeffery, Tobias Galla

We use a stochastic birth-death model for a population of cells to estimate the normal tissue complication probability (NTCP) under a particular radiotherapy protocol. We specifica…

cond-mat.stat-mech2018★ 23 cited

Model reduction methods for classical stochastic systems with fast-switching environments: reduced master equations, stochastic differential equations, and applications

Peter G. Hufton, Yen Ting Lin, Tobias Galla

We study classical stochastic systems with discrete states, coupled to switching external environments. For fast environmental processes we derive reduced dynamics for the system i…

q-bio.MN2017★ 42 cited

A stochastic and dynamical view of pluripotency in mouse embryonic stem cells

Yen Ting Lin, Peter G. Hufton, Esther J. Lee +1

Pluripotent embryonic stem cells are of paramount importance for biomedical research thanks to their innate ability for self-renewal and differentiation into all major cell lines.…

q-bio.PE2017★ 23 cited

Phenotypic switching of populations of cells in a stochastic environment

Peter G. Hufton, Yen Ting Lin, Tobias Galla

In biology phenotypic switching is a common bet-hedging strategy in the face of uncertain environmental conditions. Existing mathematical models often focus on periodically changin…

cond-mat.stat-mech2015★ 110 cited

Intrinsic noise in systems with switching environments

Peter G. Hufton, Yen Ting Lin, Tobias Galla +1

We study individual-based dynamics in finite populations, subject to randomly switching environmental conditions. These are inspired by models in which genes transition between on…