Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 1, 2026PLoS Computational BiologyOpen Access

AgentBasedModeling.jl: A tool for stochastic simulation of structured population dynamics

View Full Paper
Ask AI
Bookmark
Share

Authors

PPPaul PihoPTPhilipp Thomas

Discussion

Loading...

Member takes

Overview

Randomized trial demonstrates insights into cell behavior in structured biological systems, indicating new modeling capabilities.

Key Points

  • This research aims to provide a robust framework for simulating the interactions between individual cells and their populations.
  • Developed AgentBasedModeling.jl, a Julia package for agent-based modeling.
  • Implemented continuous-time jump-diffusion dynamics for cellular agent interactions and behaviors.
  • Validated the framework using models of stochastic gene expression and cell-cell communication.
  • Successfully modeled cell division and death events in a stochastic environment.
  • Provided new insights into the dynamics of cell-cell communication during population growth.
  • Explored the effects of single-cell stochasticity on population-level behaviors.

Cite This Study

Piho et al. (2026) studied this question.

synapsesocial.com/papers/6a6d97c4e258b358b3c6a978https://doi.org/10.1371/journal.pcbi.1014366
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Agent-based modeling of spreading infectious diseases: state-of-the-art2024 · 1 citations
  2. 2Non-Markovian Trajectory Modeling in Multi-Agent Biological Information Systems2026
  3. 3R-package agentBayes: Likelihood-based statistical methods for agent-based models2026
  4. 4STAGED: A Multi-Agent Neural Network for Learning Cellular Interaction Dynamics2025
  5. 5Combining experiments with multi-cell agent-based modeling to study biological tissue patterning2007 · 145 citations