Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84326
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSloot, Peter M. A.en
dc.contributor.authorHoekstra, Alfons G.en
dc.date.accessioned2013-06-10T04:46:21Zen
dc.date.accessioned2019-12-06T15:42:48Z-
dc.date.available2013-06-10T04:46:21Zen
dc.date.available2019-12-06T15:42:48Z-
dc.date.copyright2009en
dc.date.issued2009en
dc.identifier.citationSloot, P. M. A., & Hoekstra, A. G. (2009). Multi-scale modelling in computational biomedicine. Briefings in Bioinformatics, 11(1), 142-152.en
dc.identifier.urihttps://hdl.handle.net/10356/84326-
dc.description.abstractThe inherent complexity of biomedical systems is well recognized; they are multi-scale, multi-science systems, bridging a wide range of temporal and spatial scales. This article reviews the currently emerging field of multi-scale modelling in computational biomedicine. Many exciting multi-scale models exist or are under development. However, an underpinning multi-scale modelling methodology seems to be missing. We propose a direction that complements the classic dynamical systems approach and introduce two distinct case studies, transmission of resistance in human immunodeficiency virus spreading and in-stent restenosis in coronary artery disease.en
dc.language.isoenen
dc.relation.ispartofseriesBriefings in bioinformaticsen
dc.rights© 2009 The Author.en
dc.titleMulti-scale modelling in computational biomedicineen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1093/bib/bbp038en
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:SCSE Journal Articles

SCOPUSTM   
Citations 5

62
Updated on Mar 10, 2021

PublonsTM
Citations 5

46
Updated on Mar 3, 2021

Page view(s) 20

551
Updated on Aug 17, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.