Philip Gerlee
Jag forskar inom biomatematik, med fokus på modeller för cancertillväxt. Jag är också intresserad av matematiska aspekter av evolution och ekologi, såsom evolution av bakteriella konsortier och tillämpningar av spelteori inom biologi.
Visar 55 publikationer
Model uncertainty, the COVID-19 pandemic, and the science-policy interface
Turing pattern formation on the sphere is robust to the removal of a hole
Fast and precise inference on diffusivity in interacting particle systems
Derivation of a Generalised Replicator Equation in the Limit of Weak Selection
Bayesian inference on the Allee effect in cancer cell populations using time-lapse microscopy images
Inference of glioblastoma migration and proliferation rates using single time-point images
Ladderpath Approach: How Tinkering and Reuse Increase Complexity and Information
Weak Selection and the Separation of Eco-evo Time Scales using Perturbation Analysis
Autocrine signaling can explain the emergence of Allee effects in cancer cell populations
Predicting regional COVID-19 hospital admissions in Sweden using mobility data
The Impact of Elastic Deformations of the Extracellular Matrix on Cell Migration
Mathematical modelling of cell migration: stiffness dependent jump rates result in durotaxis
Persistence of cooperation in diffusive public goods games
Neighborhood size-effects shape growing population dynamics in evolutionary public goods games
Time scales and wave formation in non-linear spatial public goods games
Inferring rates of metastatic dissemination using stochastic network models
The Influence of Cellular Characteristics on the Evolution of Shape Homeostasis
Impact of anticipation in dynamical systems
Extinction rates in tumour public goods games
Estimating the probability of coexistence in cross-feeding communities
Travelling wave analysis of a mathematical model of glioblastoma growth
Complexity and stability in growing cancer cell populations
Bridging scales in cancer progression: Mapping genotype to phenotype using neural networks
The evolution of carrying capacity in constrained and expanding tumour cell populations
Mathematical modeling of the metastatic process
Searching for Synergies: Matrix Algebraic Approaches for Efficient Pair Screening
Cross-Feeding Dynamics Described by a Series Expansion of the Replicator Equation
The Model Muddle: In Search of Tumor Growth Laws
Effect of space in the game “war of attrition”
The Impact of Phenotypic Switching on Glioblastoma Growth and Invasion
Evolving homeostatic tissue using genetic algorithms
Structural correlations in bacterial metabolic networks
Urdar - an artificial ecology platform
Evolving Homeostatic Tissue Using Genetic Algorithms
Evolution, regulation and disruption of homeostasis and its role in carcinogenesis
Rock-scissor-paper dynamics in a digital ecology
Diffusion-limited tumour growth: Simulations and analysis.
Productivity and diversity in a cross-feeding population of digital organisms
Gene divergence and pathway duplication in the metabolic network of yeast and digital organisms
The Emergence of Overlapping Scale-free Genetic Architecture in
The Genetic coding style of digital organisms
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Visar 6 forskningsprojekt
Att förutsäga en osäker framtid: förbättring av beräkningsmodeller som beslutsstöd under en pandemi
Systembiologiska studier av invasivt glioblastom
Utveckling av homogeniseringsmetoder för multicellulära system
Hierarkiska mixed effects-modeller av dynamiska system