Agent-based models predict emergent behavior of heterogeneous cell populations in dynamic microenvironments: POPULATION HETEROGENEITY (4/5)

Data and results for `POPULATION HETEROGENEITY` simulations. Simulations of all possible combinations of four populations (X, A, B, C) under colony and tissue context with different levels of parameter heterogeneity (0, 0.1, 0.2, 0.3, 0.4, and 0.5). For tissue context, the healthy cell populations also varies parameter heterogeneity independent of the cancerous cell populations. 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 data.param folder contains .tar.xz compressed replicate sets for .PARAM output. The results folder contains .pkl files of data parsed into arrays. Simulations are labeled as: [context]_[populations]_[population heterogeneity]_[background heterogeneity] - [context] - C = colony context, cancerous cell populations only - CH = tissue context, cancerous cell populations and healthy cells - [populations] - X = cancerous cell population with basal parameters - A = cancerous cell population with max_height x 1.5 - B = cancerous cell population with meta_pref x 1.5 - C = cancerous cell population with migra_threshold x 0.5 - [population heterogeneity] - ## = heterogeneity value for cancerous cell populations (##/10) - [background heterogeneity] - ## = heterogeneity value for healthy cell population (##/10) Additional data and results for this simulation set available at: - doi: 10.17632/bk9s769t3t - doi: 10.17632/mjpcm5my8z - doi: 10.17632/hskf9mxbpw - doi: 10.17632/p46dwfyvz