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Xiangrong Li
Researcher at University of California, Irvine
Publications - 10
Citations - 1343
Xiangrong Li is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Multigrid method & Nonlinear system. The author has an hindex of 7, co-authored 10 publications receiving 1209 citations.
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Journal ArticleDOI
Nonlinear modelling of cancer: Bridging the gap between cells and tumours
John Lowengrub,Hermann B. Frieboes,Hermann B. Frieboes,Fang Jin,Fang Jin,Yao-Li Chuang,Xiangrong Li,Paul Macklin,Steven M. Wise,Vittorio Cristini +9 more
TL;DR: In this paper, the authors provide an overview of multiscale modelling focusing on the growth phase of tumours and bypassing the initial stage of tumourigenesis, and limit the scope further by considering models of tumor progression that do not distinguish tumour cells by their age and do not consider immune system interactions nor do they describe models of therapy.
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Nonlinear simulations of solid tumor growth using a mixture model: invasion and branching
TL;DR: This work shows that taxis may play a role in tumor invasion and that when nutrient plays the role of a chemoattractant, the diffusional instability is exacerbated by nutrient gradients, as predicted by linear stability theory.
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Solving pdes in complex geometries: a diffuse domain approach.
TL;DR: A general approach for solving partial differential equations in complex, stationary, or moving geometries with Dirichlet, Neumann, and Robin boundary conditions with matched asymptotic expansions is presented.
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A diffuse-interface approach for modeling transport, diffusion and adsorption/desorption of material quantities on a deformable interface.
TL;DR: A method is presented to solve two-phase problems involving a material quantity on an interface that can be advected, stretched, and change topology, and material can be adsorbed to or desorbed from it.
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Density-dependent quiescence in glioma invasion: instability in a simple reaction-diffusion model for the migration/proliferation dichotomy.
Kara Pham,Arnaud Chauvière,Haralampos Hatzikirou,Xiangrong Li,Helen M. Byrne,Helen M. Byrne,Vittorio Cristini,John Lowengrub +7 more
TL;DR: A simple go-or-grow model is formulated to investigate the dynamics of a population of glioma cells for which the switch from a migratory to a proliferating phenotype (and vice versa) depends on the local cell density.