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dc.contributor.authorGajdov, Vladimir
dc.contributor.authorKavran, Mihaela
dc.contributor.authorPetrović, Tamaš
dc.contributor.authorKonstantinov, Jelena
dc.contributor.authorBosilkov, Filip
dc.contributor.authorProšić, Isidora
dc.contributor.authorLazić, Gospava
dc.date.accessioned2025-12-24T13:58:22Z
dc.date.available2025-12-24T13:58:22Z
dc.date.issued2025
dc.identifier.urihttps://repo.niv.ns.ac.rs/xmlui/handle/123456789/1082
dc.description.sponsorshipThis research was supported by the Science Fund of the Republic of Serbia, GRANT No 10945, Exploring the Avian Microbial Frontier: Metagenomic Surveillance of Infectious Diseases and Antimicrobial Resistance in Wild Birds – MetAvianen_US
dc.language.isoenen_US
dc.sourceConference: Microbial Typing: from Fundamental to Daily Microbiologyen_US
dc.titleGeneralizable machine learning framework for viral classification based on dinucleotide frequency signaturesen_US
dc.typePresentationen_US
dc.citation.rankM64en_US
dc.type.versionpublisheden_US


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