Pages that link to "Item:Q738634"
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The following pages link to Modeling keratinocyte wound healing dynamics: cell-cell adhesion promotes sustained collective migration (Q738634):
Displaying 18 items.
- A self-consistent cell flux expression for simultaneous chemotaxis and contact guidance in tissues (Q1590236) (← links)
- Extended logistic growth model for heterogeneous populations (Q1649385) (← links)
- Learning equations from biological data with limited time samples (Q2202056) (← links)
- Multi-scale modeling of a wound-healing cell migration assay (Q2209979) (← links)
- Local meshless method for PDEs arising from models of wound healing (Q2293893) (← links)
- Continuum descriptions of spatial spreading for heterogeneous cell populations: theory and experiment (Q2328271) (← links)
- Using experimental data and information criteria to guide model selection for reaction-diffusion problems in mathematical biology (Q2417536) (← links)
- Travelling waves of attached and detached cells in a wound-healing cell migration assay (Q2426352) (← links)
- The role of cell-cell adhesion in wound healing (Q2641398) (← links)
- A mathematical model of wound healing in bovine corneal endothelium (Q2678763) (← links)
- Bifurcation analysis of critical values for wound closure outcomes in wound healing experiments (Q2699742) (← links)
- Investigation of a Structured Fisher's Equation with Applications in Biochemistry (Q4568420) (← links)
- CRITICAL LENGTH FOR THE SPREADING–VANISHING DICHOTOMY IN HIGHER DIMENSIONS (Q4971814) (← links)
- Learning partial differential equations for biological transport models from noisy spatio-temporal data (Q5114254) (← links)
- Revisiting the Fisher–Kolmogorov–Petrovsky–Piskunov equation to interpret the spreading–extinction dichotomy (Q5160777) (← links)
- Estimation of parameter distributions for reaction-diffusion equations with competition using aggregate spatiotemporal data (Q6174018) (← links)
- Semi-autonomous wound invasion via matrix-deposited, haptotactic cues (Q6174234) (← links)
- Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks (Q6632673) (← links)