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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/bmcbi/BeltranBCFMS24>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Fernanda_Parraguez_Contreras>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jorge_Beltr%E2%88%9A%C2%B0n>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jorge_G._Farias>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jorge_Machuca-Sep%E2%88%9A%C4%BClveda>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Lisandra_Herrera_Bel%E2%88%9A%C2%A9n>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Stefania_Short>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1186%2Fs12859-024-05748-z>
foaf:homepage <https://doi.org/10.1186/s12859-024-05748-z>
dc:identifier DBLP journals/bmcbi/BeltranBCFMS24 (xsd:string)
dc:identifier DOI doi.org%2F10.1186%2Fs12859-024-05748-z (xsd:string)
dcterms:issued 2024 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/bmcbi>
rdfs:label MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Fernanda_Parraguez_Contreras>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jorge_Beltr%E2%88%9A%C2%B0n>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jorge_G._Farias>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jorge_Machuca-Sep%E2%88%9A%C4%BClveda>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Lisandra_Herrera_Bel%E2%88%9A%C2%A9n>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Stefania_Short>
swrc:month December (xsd:string)
swrc:number 1 (xsd:string)
swrc:pages 148 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/bmcbi/BeltranBCFMS24/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/bmcbi/BeltranBCFMS24>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi25.html#BeltranBCFMS24>
rdfs:seeAlso <https://doi.org/10.1186/s12859-024-05748-z>
dc:title MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 25 (xsd:string)