Pages that link to "Item:Q1649432"
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The following pages link to Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues (Q1649432):
Displaying 9 items.
- Incorporating chemical signalling factors into cell-based models of growing epithelial tissues (Q455760) (← links)
- Quantifying uncertainty in parameter estimates for stochastic models of collective cell spreading using approximate Bayesian computation (Q494470) (← links)
- Models, measurement and inference in epithelial tissue dynamics (Q745142) (← links)
- A framework for performing data-driven modeling of tumor growth with radiotherapy treatment (Q2658321) (← links)
- Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth (Q5228367) (← links)
- Free and interfacial boundaries in individual-based models of multicellular biological systems (Q6078314) (← links)
- Moving horizon estimation of amnioserosa cell dynamics during \textit{Drosophila} dorsal closure (Q6173506) (← links)
- An approximate Bayesian computation approach for embryonic astrocyte migration model reduction (Q6617649) (← links)
- Bayesian parameter inference for epithelial mechanics (Q6671176) (← links)
