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R2-DDI: relation-aware feature refinement for drug–drug interaction prediction

R2-DDI: relation-aware feature refinement for drug–drug interaction prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2758577770

R2-DDI: relation-aware feature refinement for drug–drug interaction prediction

About this item

Full title

R2-DDI: relation-aware feature refinement for drug–drug interaction prediction

Publisher

England: Oxford University Press

Journal title

Briefings in bioinformatics, 2023-01, Vol.24 (1)

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Abstract
Precisely predicting the drug–drug interaction (DDI) is an important application and host research topic in drug discovery, especially for avoiding the adverse effect when using drug combination treatment for patients. Nowadays, machine learning and deep learning methods have achieved great success in DDI prediction. However, we notice...

Alternative Titles

Full title

R2-DDI: relation-aware feature refinement for drug–drug interaction prediction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2758577770

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2758577770

Other Identifiers

ISSN

1467-5463

E-ISSN

1477-4054

DOI

10.1093/bib/bbac576

How to access this item