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Scalable population-level modelling of biological cells incorporating mechanics and kinetics in continuous time
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.ORCID iD: 0000-0002-3614-1732
2018 (English)In: Royal Society Open Science, E-ISSN 2054-5703, Vol. 5, p. 180379:1-17, article id 180379Article in journal (Refereed) Published
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2018. Vol. 5, p. 180379:1-17, article id 180379
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Computational Mathematics Bioinformatics and Systems Biology
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URN: urn:nbn:se:uu:diva-358221DOI: 10.1098/rsos.180379ISI: 000443443000051PubMedID: 30225024OAI: oai:DiVA.org:uu-358221DiVA, id: diva2:1241875
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eSSENCEAvailable from: 2018-08-01 Created: 2018-08-25 Last updated: 2018-11-12Bibliographically approved

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