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

collaborators

14 papers

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.TO2015★ 1 cited

The impact of cellular characteristics on the evolution of shape homeostasis

Philip Gerlee, David Basanta, Alexander R. A. Anderson

The importance of individual cells in a developing multicellular organism is well known but precisely how the individual cellular characteristics of those cells collectively drive…

q-bio.TO2014★ 1 cited

Bridging scales in cancer progression: Mapping genotype to phenotype using neural networks

Philip Gerlee, Eunjung Kim, Alexander R. A. Anderson

In this review we summarize our recent efforts in trying to understand the role of heterogeneity in cancer progression by using neural networks to characterise different aspects of…

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.TO2013

Mathematical modeling of the metastatic process

Jacob G. Scott, Philip Gerlee, David Basanta +3

Mathematical modeling in cancer has been growing in popularity and impact since its inception in 1932. The first theoretical mathematical modeling in cancer research was focused on…