MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model ; volume:23 ; number:1 ; day:19 ; month:5 ; year:2022 ; pages:1-22 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (19.5.2022), 1-22, 12.2022

Creator: Liang, Ying
Zhang, Ze-Qun
Liu, Nian-Nian
Wu, Ya-Nan
Gu, Chang-Long
Wang, Ying-Long

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-022-04715-w

URN: urn:nbn:de:101:1-2022072120320499224514

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Liang, Ying
Zhang, Ze-Qun
Liu, Nian-Nian
Wu, Ya-Nan
Gu, Chang-Long
Wang, Ying-Long
SpringerLink (Online service)

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MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model

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