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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/bioinformatics/SinghLPSHZ21>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Anil_Kumar_Hanumanthappa>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jaspreet_Singh>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jaswinder_Singh>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kuldip_K._Paliwal>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Thomas_Litfin>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yaoqi_Zhou>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1093%2Fbioinformatics%2Fbtab316>
foaf:homepage <https://doi.org/10.1093/bioinformatics/btab316>
dc:identifier DBLP journals/bioinformatics/SinghLPSHZ21 (xsd:string)
dc:identifier DOI doi.org%2F10.1093%2Fbioinformatics%2Fbtab316 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/bioinformatics>
rdfs:label SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Anil_Kumar_Hanumanthappa>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jaspreet_Singh>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jaswinder_Singh>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kuldip_K._Paliwal>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Thomas_Litfin>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yaoqi_Zhou>
swrc:number 20 (xsd:string)
swrc:pages 3464-3472 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/bioinformatics/SinghLPSHZ21/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/bioinformatics/SinghLPSHZ21>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics37.html#SinghLPSHZ21>
rdfs:seeAlso <https://doi.org/10.1093/bioinformatics/btab316>
dc:title SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 37 (xsd:string)