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Multi-view feature representation and fusion for drug-drug interactions prediction

Multi-view feature representation and fusion for drug-drug interactions prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90d5cf9e31314f55b13ffd2626e60789

Multi-view feature representation and fusion for drug-drug interactions prediction

About this item

Full title

Multi-view feature representation and fusion for drug-drug interactions prediction

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2023-03, Vol.24 (1), p.93-23, Article 93

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Drug-drug interactions (DDIs) prediction is vital for pharmacology and clinical application to avoid adverse drug reactions on patients. It is challenging because DDIs are related to multiple factors, such as genes, drug molecular structure, diseases, biological processes, side effects, etc. It is a crucial technology for Knowledge graph to present...

Alternative Titles

Full title

Multi-view feature representation and fusion for drug-drug interactions prediction

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_90d5cf9e31314f55b13ffd2626e60789

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_90d5cf9e31314f55b13ffd2626e60789

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-023-05212-4

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