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NGCN: Drug‐target interaction prediction by integrating information and feature learning from hetero...

NGCN: Drug‐target interaction prediction by integrating information and feature learning from hetero...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10955156

NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network

About this item

Full title

NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network

Publisher

England: John Wiley & Sons, Inc

Journal title

Journal of cellular and molecular medicine, 2024-04, Vol.28 (7), p.e18224-n/a

Language

English

Formats

Publication information

Publisher

England: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Drug‐target interaction (DTI) prediction is essential for new drug design and development. Constructing heterogeneous network based on diverse information about drugs, proteins and diseases provides new opportunities for DTI prediction. However, the inherent complexity, high dimensionality and noise of such a network prevent us from taking full adv...

Alternative Titles

Full title

NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10955156

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10955156

Other Identifiers

ISSN

1582-1838,1582-4934

E-ISSN

1582-4934

DOI

10.1111/jcmm.18224

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