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https://dblp.org/pid/227/3231 +
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http://purl.org/net/nknouf/ns/bibtex#Article +
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https://dblp.org/pid/227/3231 +
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|
https://doi.org/10.1093/BIOINFORMATICS/BTAB777 +
|
| https://dblp.org/rdf/schema#doi
|
https://doi.org/10.1093/BIOINFORMATICS/BTAB777 +
|
| https://dblp.org/rdf/schema#listedOnTocPage
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https://dblp.org/db/journals/bioinformatics/bioinformatics38 +
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7
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| https://dblp.org/rdf/schema#pagination
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990-996
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| https://dblp.org/rdf/schema#primaryDocumentPage
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https://doi.org/10.1093/BIOINFORMATICS/BTAB777 +
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Bioinform.
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| https://dblp.org/rdf/schema#publishedInJournal
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Bioinform.
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| https://dblp.org/rdf/schema#publishedInJournalVolume
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38
|
| https://dblp.org/rdf/schema#publishedInJournalVolumeIssue
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4
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| https://dblp.org/rdf/schema#publishedInStream
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https://dblp.org/streams/journals/bioinformatics +
|
| https://dblp.org/rdf/schema#title
|
Seq-SetNet: directly exploiting multiple sequence alignment for protein secondary structure prediction.
|
| https://dblp.org/rdf/schema#yearOfPublication
|
2022
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https://doi.org/10.1093/BIOINFORMATICS/BTAB777 +
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Fusong Ju et al.: Seq-SetNet: directly exploiting multiple sequence alignment for protein secondary structure prediction. (2022)
|
