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Scientific Reports|June 8, 2022
Model-based inference of metastatic seeding rates in de novo metastatic breast cancer reveals the impact of secondary seeding and molecular subtypeNoemi Vitos, Philip GerleePlos Computational Biology|April 2, 2019
Inferring rates of metastatic dissemination using stochastic network modelsPhilip Gerlee, Mia JohanssonMathematical Medicine and Biology : a Journal of the IMA|August 13, 2024
Inference on an interacting diffusion system with application to in vitro glioblastoma migration (publication template)Gustav Lindwall, Philip GerleeRoyal Society Open Science|February 15, 2024
Model uncertainty, the COVID-19 pandemic, and the science-policy interfaceHenrik Thorén, Philip GerleeJournal of Mathematical Biology|April 12, 2019
Mathematical modelling of cell migration: stiffness dependent jump rates result in durotaxisAdam A Malik, Philip GerleeJournal of the Royal Society, Interface|September 29, 2017
Extinction rates in tumour public goods gamesPhilip Gerlee, Philipp M AltrockPhysical Review. E|July 24, 2019
Persistence of cooperation in diffusive public goods gamesPhilip Gerlee, Philipp M AltrockMathematical Biosciences and Engineering : MBE|May 14, 2010
Diffusion-limited tumour growth: simulations and analysisPhilip Gerlee, Alexander R A AndersonJournal of Theoretical Biology|August 4, 2016
Estimating the probability of coexistence in cross-feeding communitiesBjörn Vessman, Philip Gerlee, Torbjörn LundhBMC Evolutionary Biology|January 22, 2011
Structural correlations in bacterial metabolic networksSebastian Bernhardsson, Philip Gerlee, Ludvig LizanaPageof 1,609