Rule-based Modelling and Tunable Resolution

Rule-based Modelling and Tunable Resolution

We investigate the use of an extension of rule-based modelling for cellular signalling to create a structured space of model variants. This enables the incremental development of rule sets that start from simple mechanisms and which, by a gradual increase in agent and rule resolution, evolve into mo...

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Bibliographic Details
Main Author: Russ Harmer
Format: Article
Language:English
Published: Open Publishing Association 2009-11-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/0911.2508v1
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spelling doaj-cc0aafb945a54fadb4caff3c13dea71e2020-11-24T23:56:04ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802009-11-019Proc. DCM 2009657210.4204/EPTCS.9.8Rule-based Modelling and Tunable ResolutionRuss HarmerWe investigate the use of an extension of rule-based modelling for cellular signalling to create a structured space of model variants. This enables the incremental development of rule sets that start from simple mechanisms and which, by a gradual increase in agent and rule resolution, evolve into more detailed descriptions. http://arxiv.org/pdf/0911.2508v1
collection DOAJ
language English
format Article
sources DOAJ
author Russ Harmer
spellingShingle Russ Harmer
Rule-based Modelling and Tunable Resolution
Electronic Proceedings in Theoretical Computer Science
author_facet Russ Harmer
author_sort Russ Harmer
title Rule-based Modelling and Tunable Resolution
title_short Rule-based Modelling and Tunable Resolution
title_full Rule-based Modelling and Tunable Resolution
title_fullStr Rule-based Modelling and Tunable Resolution
title_full_unstemmed Rule-based Modelling and Tunable Resolution
title_sort rule-based modelling and tunable resolution
publisher Open Publishing Association
series Electronic Proceedings in Theoretical Computer Science
issn 2075-2180
publishDate 2009-11-01
description We investigate the use of an extension of rule-based modelling for cellular signalling to create a structured space of model variants. This enables the incremental development of rule sets that start from simple mechanisms and which, by a gradual increase in agent and rule resolution, evolve into more detailed descriptions.
url http://arxiv.org/pdf/0911.2508v1
work_keys_str_mv AT russharmer rulebasedmodellingandtunableresolution
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