Name
Abstract | ||
|---|---|---|
Immune system processes can be simulated using both system dynamics (SD) models based on differential equations and Agent-based (AB) models. The two approaches are intrinsically different but some methodologies have been developed to convert SD models into AB models with a variable degree of success. However, until now none of such methods have considered the use of scale factors in SD to AB model conversion. In this work, we revisited a well know SD model describing the interaction between effector T cells and tumor cells that was previously shown unsuitable for AB modeling. We introduced non-dimensional scaling factors in AB modeling and compared AB and AD simulations through a sensitivity analysis. Under this scenario, we obtained AB models that could successfully reproduce SD simulations with a reasonable number of agents and a stochastic behavior that did not compromise computer resources. In general, our results justify the introduction of non-dimensional scaling factors to reproduce SD simulations with AB models. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/BIBM.2017.8217878 | 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) |
Keywords | DocType | ISSN |
artificial immune system, immune modeling, immunotherapy | Conference | 2156-1125 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan A. Sanchez-Lantaron | 1 | 0 | 0.68 |
| Pedro A. Reche | 2 | 36 | 6.84 |
| Marzio Pennisi | 3 | 109 | 23.03 |
| Giulia Russo | 4 | 15 | 10.89 |
| F. Pappalardo | 5 | 76 | 20.14 |