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Inferring the underlying multivariate structure from bivariate networks with highly correlated nodes

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dc.contributor.authorLoske, Philipp
dc.contributor.authorSchelter, Bjoern O.
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Biomedical Imaging Centreen
dc.contributor.institutionUniversity of Aberdeen.Medicine, Medical Sciences & Nutritionen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.date.accessioned2022-10-05T13:36:01Z
dc.date.available2022-10-05T13:36:01Z
dc.date.issued2022-07
dc.description.statusPeer revieweden
dc.format.extent12
dc.format.extent2455357
dc.identifier218808867
dc.identifier235a5895-406a-40c2-830a-f7c40da0d0b6
dc.identifier85134620398
dc.identifier35864116
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.doi10.1038/s41598-022-16296-y
dc.identifier.iss1en
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/2164/19288
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85134620398&partnerID=8YFLogxKen
dc.identifier.vol12en
dc.language.isoeng
dc.relation.ispartofScientific Reportsen
dc.subjectSubstantive connection via eligible employment contracten
dc.subjectApplied mathematicsen
dc.subjectComplex networksen
dc.subjectstatisticsen
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

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