2. Repository of UKIM
  3. Faculty of Computer Science and Engineering
  4. Faculty of Computer Science and Engineering: Conference papers

Repository of UKIM


Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/33914
DC FieldValueLanguage
dc.contributor.authorMadjarov, Gjorgjien_US
dc.contributor.authorGalevski, Daviden_US
dc.contributor.authorNikov, Aleksandaren_US
dc.contributor.authorNowicki, Grzegorzen_US
dc.contributor.authorKalka, Rafalen_US
dc.contributor.authorSchack, Anne Kristineen_US
dc.contributor.authorAlapont, Karmeleen_US
dc.contributor.authorKrych, Lukaszen_US
dc.contributor.authorChaushevska, Marijaen_US
dc.contributor.authorKyriakidis, Dimitriosen_US
dc.contributor.authorKyriakidis, Chrisen_US
dc.contributor.authorVelkoski, Zoranen_US
dc.contributor.authorGarrido Navas, Carmenen_US
dc.date.accessioned2025-08-18T08:34:32Z-
dc.date.available2025-08-18T08:34:32Z-
dc.date.issued2024-01-01-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/33914-
dc.publisherSPRINGERNATUREen_US
dc.titleMultiplexing approach for high-throughput cystic fibrosis screening using ONT and artificial intelligenceen_US
dc.typeProceeding articleen_US
dc.relation.conferenceEUROPEAN JOURNAL OF HUMAN GENETICSen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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