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dc.contributor.authorLoske, Philipp
dc.contributor.authorSchelter, Bjoern O.
dc.date.accessioned2022-10-05T13:36:01Z
dc.date.available2022-10-05T13:36:01Z
dc.date.issued2022-07-21
dc.identifier.citationLoske , P & Schelter , B O 2022 , ' Inferring the underlying multivariate structure from bivariate networks with highly correlated nodes ' , Scientific Reports , vol. 12 , no. 1 , 12486 . https://doi.org/10.1038/s41598-022-16296-yen
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 218808867
dc.identifier.otherPURE UUID: 235a5895-406a-40c2-830a-f7c40da0d0b6
dc.identifier.otherScopus: 85134620398
dc.identifier.otherPubMed: 35864116
dc.identifier.urihttps://hdl.handle.net/2164/19288
dc.descriptionFunding Information: PL acknowledges financial support from Medical Research Scotland (Grant No.: RG14565). Publisher Copyright: © 2022, The Author(s).en
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectQC Physicsen
dc.subjectGeneralen
dc.subjectOtheren
dc.subjectRG14565en
dc.subject.lccQCen
dc.titleInferring the underlying multivariate structure from bivariate networks with highly correlated nodesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Biomedical Imaging Centreen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/s41598-022-16296-y
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85134620398&partnerID=8YFLogxKen
dc.identifier.vol12en
dc.identifier.iss1en


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