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Similarity network fusion (SNF) for the integration of multi-omics and microbiomes in respiratory disease

dc.contributor.authorNarayana, JK
dc.contributor.authorAogáin, MM
dc.contributor.authorAli, NABM
dc.contributor.authorTsaneva-Atanasova, K
dc.contributor.authorChotirmall, SH
dc.date.accessioned2021-06-21T06:52:50Z
dc.date.issued2021-06-17
dc.description.abstractTake home message: Similarity Network Fusion (SNF) is an increasingly employed method for multi-omics and microbiome data integration that can assist in patient endotyping. Here, we describe how it is performed and explore its current and future application in respiratory medicineen_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipSingapore Ministry of Health’s National Medical Research Councilen_GB
dc.description.sponsorshipNTU Integrated Medical, Biological and Environmental Life Sciences (NIMBELS)en_GB
dc.identifier.citationPublished online 17 June 2021en_GB
dc.identifier.doi10.1183/13993003.01016-2021
dc.identifier.grantnumberEP/T017856/1en_GB
dc.identifier.grantnumberClinician-Scientist Individual Research Granten_GB
dc.identifier.grantnumberNIM/03/2018en_GB
dc.identifier.urihttp://hdl.handle.net/10871/126108
dc.language.isoenen_GB
dc.publisherEuropean Respiratory Societyen_GB
dc.rights.embargoreasonPublisher policy.en_GB
dc.rightsCopyright ©The authors 2021. For reproduction rights and permissions contact permissions@ersnet.orgen_GB
dc.titleSimilarity network fusion (SNF) for the integration of multi-omics and microbiomes in respiratory diseaseen_GB
dc.typeArticleen_GB
dc.date.available2021-06-21T06:52:50Z
dc.identifier.issn0903-1936
dc.descriptionThis is the author accepted manuscript; the final published version is available from European Respiratory Society via the DOI in this record.en_GB
dc.identifier.journalEuropean Respiratory Journalen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2021-06-04
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2021-06-18
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-06-18T20:53:25Z
refterms.versionFCDAM
refterms.dateFOA2021-06-21T06:53:15Z
refterms.panelBen_GB


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