@inbook{6d01134b380c4fb8a61344b28942c033,
title = "Agent-based modeling of cancer stem cell driven solid tumor growth",
abstract = "Computational modeling of tumor growth has become an invaluable tool to simulate complex cell–cell interactions and emerging population-level dynamics. Agent-based models are commonly used to describe the behavior and interaction of individual cells in different environments. Behavioral rules can be informed and calibrated by in vitro assays, and emerging population-level dynamics may be validated with both in vitro and in vivo experiments. Here, we describe the design and implementation of a lattice-based agentbased model of cancer stem cell driven tumor growth.",
keywords = "Agent-based model, Calibration, Cancer stem cell, Digital cell line, Domain, High performance, Search order, Tumor growth",
author = "Jan Poleszczuk and Paul Macklin and Heiko Enderling",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media New York 2016.",
year = "2016",
doi = "10.1007/7651_2016_346",
language = "English (US)",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "335--346",
booktitle = "Methods in Molecular Biology",
}