Agent-based models predict emergent behavior of heterogeneous cell populations in dynamic microenvironments: PARAMETER SENSITIVITY

Published: 21-07-2021| Version 1 | DOI: 10.17632/wpfycmb5sv.1
Contributor:
Jessica Yu

Description

Data and results for `PARAMETER SENSITIVITY` simulations. Simulations of three parameters (crowding tolerance, metabolic preference, migratory threshold) varied +/- 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100% from baseline values. Each condition is run for 15 days (21600 ticks) with 20 replicates (random seeds 0 - 19). Cells are introduced to the center of the constant source environment after a 1 day delay. Snapshots are taken every 0.5 days (720 ticks). The data folder contains .tar.xz compressed replicate sets. The results folder contains .pkl files of data parsed into arrays. Simulations are labeled as: [parameter]_[percent] - [parameter] - max_height = crowding tolerance parameter - meta_pref = metabolic preference parameter - migra_threshold = migratory threshold parameter - [percent] - ### = percent change in parameter from baseline denoted (### - 100)%

Files

Steps to reproduce

Simulations generated using ARCADE v2.2 (available at https://github.com/bagherilab/ARCADE) using the following setup files: - PARAMETER_SENSITIVITY.xml All setup files are available at https://github.com/bagherilab/arcade_emergent_behavior.