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TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural ne...

TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural ne...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fac920c98aa14497b2b45888f473adc1

TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network

About this item

Full title

TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network

Publisher

London: Nature Publishing Group UK

Journal title

Communications biology, 2024-08, Vol.7 (1), p.1067-10, Article 1067

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The identification of miRNA-disease associations is crucial for early disease prevention and treatment. However, it is still a computational challenge to accurately predict such associations due to improper information encoding. Previous methods characterize miRNA-disease associations only from single levels, causing the loss of multi-level associa...

Alternative Titles

Full title

TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fac920c98aa14497b2b45888f473adc1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fac920c98aa14497b2b45888f473adc1

Other Identifiers

ISSN

2399-3642

E-ISSN

2399-3642

DOI

10.1038/s42003-024-06734-0

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