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A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data.

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Title: A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data.
Authors: Warne DJ; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia., Zhu X; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia., Steele TP; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia., Johnston ST; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia., Sisson SA; School of Mathematics and Statistics, University of New South Wales, Sydney, Australia., Faria M; Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia., Murphy RJ; School of Mathematical Sciences, Adelaide University, Adelaide, Australia., Browning AP; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.; Mathematical Institute, University of Oxford, Oxford, United Kingdom.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Jun 15; Vol. 22 (6), pp. e1014379. Date of Electronic Publication: 2026 Jun 15 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Warne+DJ%22">Warne DJ</searchLink>; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Zhu+X%22">Zhu X</searchLink>; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Steele+TP%22">Steele TP</searchLink>; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Johnston+ST%22">Johnston ST</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Sisson+SA%22">Sisson SA</searchLink>; School of Mathematics and Statistics, University of New South Wales, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Faria+M%22">Faria M</searchLink>; Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Murphy+RJ%22">Murphy RJ</searchLink>; School of Mathematical Sciences, Adelaide University, Adelaide, Australia.<br /><searchLink fieldCode="AU" term="%22Browning+AP%22">Browning AP</searchLink>; School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.; Mathematical Institute, University of Oxford, Oxford, United Kingdom.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 Jun 15; Vol. 22 (6), pp. e1014379. <i>Date of Electronic Publication: </i>2026 Jun 15 (<i>Print Publication: </i>2026).
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