Pages that link to "Item:Q730281"

The following pages link to Mathematical modelling of plasticity and phenotype switching in cancer cell populations (Q730281):

Displaying 20 items.

• The overshoot and phenotypic equilibrium in characterizing cancer dynamics of reversible phenotypic plasticity (Q304808) (← links)
• Controlling stochasticity in epithelial-mesenchymal transition through multiple intermediate cellular states (Q316943) (← links)
• Designing proliferating cell population models with functional targets for control by anti-cancer drugs (Q378938) (← links)
• Replicator dynamics of cancer stem cell: selection in the presence of differentiation and plasticity (Q905826) (← links)
• Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation (Q1642560) (← links)
• A Bayesian statistical analysis of stochastic phenotypic plasticity model of cancer cells (Q1714152) (← links)
• Investigating the link between epithelial-mesenchymal transition and the cancer stem cell phenotype: a mathematical approach (Q1720077) (← links)
• Modeling the stem cell hypothesis: investigating the effects of cancer stem cells and TGF \(- \beta\) on tumor growth (Q2045522) (← links)
• A mathematical study of the impact of cell plasticity on tumour control probability (Q2047807) (← links)
• On tumoural growth and treatment under cellular dedifferentiation (Q2105497) (← links)
• Mathematical modelling of cancer stem cell-targeted immunotherapy (Q2173873) (← links)
• The effects of phenotypic plasticity on the fixation probability of mutant cancer stem cells (Q2217719) (← links)
• Cancer stem cell, niche and EGFR decide tumor development and treatment response: a bio-computational simulation study (Q2261637) (← links)
• Close encounters of the cell kind: the impact of contact inhibition on tumour growth and cancer models (Q2299335) (← links)
• Evolutionary dynamics of cancer: from epigenetic regulation to cell population dynamics -- mathematical model framework, applications, and open problems (Q2303916) (← links)
• A computational method for solving stochastic Itô-Volterra integral equation with multi-stochastic terms (Q2418464) (← links)
• (Q3176424) (← links)
• Mathematical insights into neuroendocrine transdifferentiation of human prostate cancer cells (Q5029942) (← links)
• A kinetic theory approach for modelling tumour and macrophages heterogeneity and plasticity during cancer progression (Q5128703) (← links)
• Statistical inference of the rates of cell proliferation and phenotypic switching in cancer (Q6174231) (← links)