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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/jcisd/IwataMMMMFMH22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hideaki_Mamada>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hiroaki_Iwata>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kazuya_Maeda>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Koichi_Handa>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Mayumi_Matsushita>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Takahisa_Motomura>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Takeshi_Fujiwara>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Tatsuru_Matsuo>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1021%2Facs.jcim.2c00318>
foaf:homepage <https://doi.org/10.1021/acs.jcim.2c00318>
dc:identifier DBLP journals/jcisd/IwataMMMMFMH22 (xsd:string)
dc:identifier DOI doi.org%2F10.1021%2Facs.jcim.2c00318 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/jcisd>
rdfs:label Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hideaki_Mamada>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hiroaki_Iwata>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kazuya_Maeda>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Koichi_Handa>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Mayumi_Matsushita>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Takahisa_Motomura>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Takeshi_Fujiwara>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Tatsuru_Matsuo>
swrc:number 17 (xsd:string)
swrc:pages 4057-4065 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/jcisd/IwataMMMMFMH22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/jcisd/IwataMMMMFMH22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/jcisd/jcisd62.html#IwataMMMMFMH22>
rdfs:seeAlso <https://doi.org/10.1021/acs.jcim.2c00318>
dc:title Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 62 (xsd:string)