Search Results for author: Daniel J. Cohen

Found 4 papers, 3 papers with code

Optimal control of collective electrotaxis in epithelial monolayers

no code implementations13 Feb 2024 Simon F. Martina-Perez, Isaac B. Breinyn, Daniel J. Cohen, Ruth E. Baker

Epithelial monolayers are some of the best-studied models for collective cell migration due to their abundance in multicellular systems and their tractability.

Quantifying cell cycle regulation by tissue crowding

1 code implementation16 Jan 2024 Carles Falcó, Daniel J. Cohen, José A. Carrillo, Ruth E. Baker

Finally, we compare our mathematical model predictions to different experiments studying cell cycle regulation and present a quantitative analysis on the impact of density-dependent regulation on cell migration patterns.

Bayesian Inference

Parameter identifiability and model selection for partial differential equation models of cell invasion

1 code implementation4 Sep 2023 Yue Liu, Kevin Suh, Philip K. Maini, Daniel J. Cohen, Ruth E. Baker

When employing mechanistic models to study biological phenomena, practical parameter identifiability is important for making accurate predictions across wide range of unseen scenarios, as well as for understanding the underlying mechanisms.

Experimental Design Model Selection

Quantifying tissue growth, shape and collision via continuum models and Bayesian inference

1 code implementation6 Feb 2023 Carles Falcó, Daniel J. Cohen, José A. Carrillo, Ruth E. Baker

Although tissues are usually studied in isolation, this situation rarely occurs in biology, as cells, tissues, and organs, coexist and interact across scales to determine both shape and function.

Bayesian Inference

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