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Table 2 ERS vs. CRS model, simulated by MiStImm 500–500 times as the initial number of pathogens is increasing (from 200 to 400) and the mean waiting time between two divisions of a pathogen is fixed (50)

From: MiStImm: an agent-based simulation tool to study the self-nonself discrimination of the adaptive immune response

f cells div time ERS wins CRS wins ratio p-value
200 50 499 432 1.155 1.1E-20
250 50 497 361 1.377 1.85E-42
300 50 481 310 1.552 5.19E-45
350 50 417 225 1.853 4.48E-38
400 50 272 135 2.015 5.74E-19
  1. The table shows how the performance of ERS and CRS model is changing when we increase the initial number of pathogens. The unit of time is one-tenth of a day; f cells: the initial number of foreign cells at the 300th day; div time: the mean waiting time between two divisions of a foreign cell; ERS wins: number of wins of the immune system against pathogens using the ERS model setting; CRS wins: number of wins of the immune system against pathogens using the CRS model setting; ratio: ERS wins divided per CRS wins; p-value: one-sided p-value of the Fisher’s exact test. In every case ERS performed significantly better than CRS