activity
20052021
most citedComputational Methods and Results for Structured Multiscale Models of Tumor Invasion

62 citations · 197 across the 13 of their papers we have counts for

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Showing q-bio.PEShow all

5 papers · 1 filter

q-bio.PE2021

Universal principles of cell population growth follow from local contact inhibition

Gregory J. Kimmel, Sadegh Marzban, Mehdi Damaghi +4

Cancer cell populations often exhibit remarkably similar growth laws despite their heterogeneity. Explanations of universal cell population growth remain partly unresolved to this…

q-bio.PE2019★ 34 cited

Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments

Aleksandra Ardaševa, Robert A. Gatenby, Alexander R. A. Anderson +3

Living species, ranging from bacteria to animals, exist in environmental conditions that exhibit spatial and temporal heterogeneity which requires them to adapt. Risk-spreading thr…

q-bio.PE2014★ 36 cited

The evolution of carrying capacity in constrained and expanding tumour cell populations

Philip Gerlee, Alexander R. A. Anderson

Cancer cells are known to modify their micro-environment such that it can sustain a larger population, or, in ecological terms, they construct a niche which increases the carrying…

q-bio.PE2013

Evolution of intratumoral phenotypic heterogeneity: the role of trait inheritance

Jill Gallaher, Alexander R. A. Anderson

A tumor can be thought of as an ecosystem, which critically means that we cannot just consider it as a collection of mutated cells but more as a complex system of many interacting…

q-bio.PE2013★ 1 cited

A Markov chain model of evolution in asexually reproducing populations: insight and analytical tractability in the evolutionary process

Daniel Nichol, Peter Jeavons, Robert Bonomo +5

The evolutionary process has been modelled in many ways using both stochastic and deterministic models. We develop an algebraic model of evolution in a population of asexually repr…