SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-2105

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost ; volume:22 ; number:1 ; day:28 ; month:4 ; year:2021 ; pages:1-18 ; date:12.2021
BMC bioinformatics ; 22, Heft 1 (28.4.2021), 1-18, 12.2021

Creator: Liu, Dayun
Huang, Yibiao
Nie, Wenjuan
Zhang, Jiaxuan
Deng, Lei

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-021-04135-2

URN: urn:nbn:de:101:1-2021061523533335988125

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

Last update: 14.08.2025, 10:55 AM CEST

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Liu, Dayun
Huang, Yibiao
Nie, Wenjuan
Zhang, Jiaxuan
Deng, Lei
SpringerLink (Online service)

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SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

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Other Objects (12)

A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction

Predicting circRNA-drug sensitivity associations via graph attention auto-encoder

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DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features

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