Agent-Based Models Predict Emergent Behavior of Heterogeneous Cell Populations in Dynamic Microenvironments.
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ABSTRACT:
SUBMITTER: Yu JS
PROVIDER: S-EPMC7301008 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Agent-Based Models Predict Emergent Behavior of Heterogeneous Cell Populations in Dynamic Microenvironments.
Yu Jessica S JS Bagheri Neda N
Frontiers in bioengineering and biotechnology 20200611
Computational models are most impactful when they explain and characterize biological phenomena that are non-intuitive, unexpected, or difficult to study experimentally. Countless equation-based models have been built for these purposes, but we have yet to realize the extent to which rules-based models offer an intuitive framework that encourages computational and experimental collaboration. We develop ARCADE, a multi-scale agent-based model to interrogate emergent behavior of heterogeneous cell ...[more]
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