PhysiBoSS-Models: A database for multiscale models
Year: 2025
Type: preprint
Abstract: PhysiBoSS is an open-source platform that integrates agent-based modeling of cell populations with intracellular stochastic Boolean networks, enabling multiscale simulations of complex biological behaviors. To promote model sharing and versioning, we present the PhysiBoSS-Models database: a curated repository for multiscale models built with PhysiBoSS. By providing a simple Python API, PhysiBoSS-Models provides an easy way to download and simulate preexisting models through tools such as PhysiCell Studio. By providing standardized access to validated models, PhysiBoSS-Models facilitates reuse, validation, and benchmarking, supporting research in biology.
Source: arXiv (Cornell University)
Authors: Noel, Vincent, Ruscone, Marco, Heiland, Randy, Montagud, Arnau, Valencia, Alfonso, Barillot, Emmanuel, Macklin, Paul, Calzone, Laurence
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6948199336
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