About: Agent-based modeling of host–pathogen systems: The successes and challenges

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Agent-based modeling of host–pathogen systems: The successes and challenges
Creator	Beauchemin, Catherine Bauer, Amy Perelson, Alan
source	ArXiv; Elsevier
abstract	Abstract Agent-based models have been employed to describe numerous processes in immunology. Simulations based on these types of models have been used to enhance our understanding of immunology and disease pathology. We review various agent-based models relevant to host–pathogen systems and discuss their contributions to our understanding of biological processes. We then point out some limitations and challenges of agent-based models and encourage efforts towards reproducibility and model validation.
has issue date	2009-04-29(xsd:dateTime)
bibo:doi	10.1016/j.ins.2008.11.012
has license	els-covid
sha1sum (hex)	ef1cb70a758628aaad2bdb26f414937dff7d8014
schema:url	https://doi.org/10.1016/j.ins.2008.11.012
resource representing a document's title	Agent-based modeling of host–pathogen systems: The successes and challenges
schema:publication	Information Sciences
resource representing a document's body	covid:ef1cb70a758628aaad2bdb26f414937dff7d8014#body_text
is schema:about of	named entity 'Modeling' named entity 'REVIEW' named entity 'RELEVANT' named entity 'immunology' named entity 'describe' »more»

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