PT  - JOURNAL ARTICLE
AU  - Gallaher, Jill A.
AU  - Hawkins-Daarud, Andrea
AU  - Massey, Susan C.
AU  - Swanson, Kristin R.
AU  - Anderson, Alexander R.A.
TI  - Hybrid approach for parameter estimation in agent-based models
AID  - 10.1101/175661
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 175661
4099  - http://biorxiv.org/content/early/2017/08/13/175661.short
4100  - http://biorxiv.org/content/early/2017/08/13/175661.full
AB  - Agent-based models are valuable in cancer research to show how different behaviors emerge from individual interactions between cells and their environment. However, calibrating such models can be difficult, especially if the parameters that govern the underlying interactions are hard to measure experimentally. Herein, we detail a new method to converge on parameter sets that fit an agent-based model to multiscale data using a model of glioblastoma as an example.