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Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target intera...

Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target intera...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7986629

Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions

About this item

Full title

Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions

Publisher

England: Oxford University Press

Journal title

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.2161-2171

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Abstract
Predicting the interactions between drugs and targets plays an important role in the process of new drug discovery, drug repurposing (also known as drug repositioning). There is a need to develop novel and efficient prediction approaches in order to avoid the costly and laborious process of determining drug–target interactions (DTIs) ba...

Alternative Titles

Full title

Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7986629

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7986629

Other Identifiers

ISSN

1467-5463

E-ISSN

1477-4054

DOI

10.1093/bib/bbaa025

How to access this item