Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24529
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dc.contributor.authorLiu, F-
dc.contributor.authorHeiner, M-
dc.contributor.authorGilbert, D-
dc.date.accessioned2022-05-03T17:02:54Z-
dc.date.available2022-05-03T17:02:54Z-
dc.date.issued2022-03-30-
dc.identifierbbac081-
dc.identifier.citationLiu, F., Heinere, M. and Gilbert, D. (2022) 'Hybrid modelling of biological systems: current progress and future prospects', Briefings in Bioinformatics, 23 (3), bbac081, pp. 1-15 (15). doi: 10.1093/bib/bbac081.en_US
dc.identifier.issn1467-5463-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24529-
dc.description.abstractCopyright © The Author(s) 2022. Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours. Hybrid modelling methods are crucial to achieve integrated modelling of biological systems. This paper reviews currently popular hybrid modelling methods, developed for systems biology, mainly revealing why they are proposed, how they are formed from single modelling formalisms and how to simulate them. By doing this, we identify future research requirements regarding hybrid approaches for further promoting integrated modelling of biological systems.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (61873094).en_US
dc.format.extent1 - 15 (15)-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherOxford University Press (OUP)en_US
dc.rightsCopyright © The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com-
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.subjectbiological modellingen_US
dc.subjecthybrid modellingen_US
dc.subjectmodelling formalismsen_US
dc.titleHybrid modelling of biological systems: current progress and future prospectsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1093/bib/bbac081-
dc.relation.isPartOfBriefings in Bioinformatics-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume23-
dc.identifier.eissn1477-4054-
dc.rights.holderThe Author(s)-
Appears in Collections:Brunel Design School Research Papers

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