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Predicting virus-host interactions at the species level using machine-learning and a curated viral host range dataset

dc.contributor.authorBastien, Eric G.
dc.date.accessioned2023-01-24T18:37:58Z
dc.date.available2023-01-24T18:37:58Z
dc.date.issued2023-01-24
dc.identifier.urihttps://hdl.handle.net/2027.42/175570en
dc.descriptionPoster presented by Eric Bastien at the Viral Ecogenomics conference in 2022.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titlePredicting virus-host interactions at the species level using machine-learning and a curated viral host range dataseten_US
dc.typePosteren_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biology
dc.subject.hlbtoplevelScience
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175570/1/EricB_VEGA2022poster.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/6784
dc.identifier.sourceVEGA Conference 2022en_US
dc.identifier.orcid0000-0003-1644-600Xen_US
dc.identifier.orcid0000-0003-1644-600Xen_US
dc.description.filedescriptionDescription of EricB_VEGA2022poster.pdf : Poster presented at conference
dc.description.depositorSELFen_US
dc.identifier.name-orcidBastien, Gaylord; 0000-0003-1644-600Xen_US
dc.working.doi10.7302/6784en_US
dc.owningcollnameEcology and Evolutionary Biology, Department of (EEB)


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Attribution-NonCommercial-NoDerivatives 4.0 International
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