A review on graph neural networks for predicting synergistic drug combinations

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A review on graph neural networks for predicting synergistic drug combinations ; volume:57 ; number:3 ; day:13 ; month:2 ; year:2024 ; pages:1-38 ; date:3.2024
Artificial intelligence review ; 57, Heft 3 (13.2.2024), 1-38, 3.2024

Creator: Besharatifard, Milad
Vafaee, Fatemeh

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10462-023-10669-z

URN: urn:nbn:de:101:1-2405101053216.174553066718

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

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Besharatifard, Milad
Vafaee, Fatemeh
SpringerLink (Online service)

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A review on graph neural networks for predicting synergistic drug combinations

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Other Objects (12)

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SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations

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piscesCSM: prediction of anticancer synergistic drug combinations

Transcriptional Response to Standard AML Drugs Identifies Synergistic Combinations

Dual graph convolutional neural network for predicting chemical networks

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Dual graph convolutional neural network for predicting chemical networks

SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations

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