RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction ; volume:23 ; number:1 ; day:1 ; month:12 ; year:2022 ; pages:1-16 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (1.12.2022), 1-16, 12.2022
- Urheber
-
Zhang, Meng-Long
Zhao, Bo-Wei
Su, Xiao-Rui
He, Yi-Zhou
Yang, Yue
Hu, Lun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-022-05069-z
- URN
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urn:nbn:de:101:1-2023021021082223234934
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:53 MESZ
Datenpartner
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Beteiligte
- Zhang, Meng-Long
- Zhao, Bo-Wei
- Su, Xiao-Rui
- He, Yi-Zhou
- Yang, Yue
- Hu, Lun
- SpringerLink (Online service)
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