Agent-based models predict emergent behavior of heterogeneous cell populations in dynamic microenvironments: MODULE COMPLEXITY

Data and results for `MODULE COMPLEXITY` simulations. Simulations of population with different combinations of metabolism and signaling module complexities (random, simple, medium, and complex). 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 (only for the full model rule simulations). Simulations are labeled as: [case]_[metabolism]_[signaling] - [case] - simulations full model rules do not have this label - both = fixed state with both modules - metabolism = fixed state with only metabolism module - signaling = fixed state with only signaling module - [metabolism] - R = random metabolism module - S = simple metabolism module - M = medium metabolism module - C = complex metabolism module - [signaling] - R = random signaling module - S = simple signaling module - M = medium signaling module - C = complex signaling module

本数据集包含模块复杂度（MODULE COMPLEXITY）仿真相关的数据与结果。本次仿真针对搭载不同代谢模块与信号模块复杂度组合的种群开展，模块复杂度共分为随机、简单、中等、复杂四类。每组实验条件均运行15天（对应21600个时间步），并设置20次重复实验（随机种子取值为0至19）。
在1天的延迟阶段结束后，将细胞接种至恒定源环境的中心区域。每0.5天（720个时间步）采集一次种群快照。
数据文件夹内存储.tar.xz格式压缩的重复实验数据集；结果文件夹内存储经数组化处理的.pkl格式数据（仅覆盖完整模型规则的仿真结果）。
仿真命名规则如下：
命名格式为`[工况]_[代谢模块类型]_[信号模块类型]`，其中：
- 完整模型规则的仿真无该命名标识；
- `both`：同时固定代谢与信号模块的稳态场景；
- `metabolism`：仅固定代谢模块的稳态场景；
- `signaling`：仅固定信号模块的稳态场景；
- 代谢模块类型：`R`代表随机代谢模块，`S`代表简单代谢模块，`M`代表中等代谢模块，`C`代表复杂代谢模块；
- 信号模块类型：`R`代表随机信号模块，`S`代表简单信号模块，`M`代表中等信号模块，`C`代表复杂信号模块。