Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining ; volume:24 ; number:1 ; day:19 ; month:12 ; year:2023 ; pages:1-41 ; date:12.2023
BMC bioinformatics ; 24, Heft 1 (19.12.2023), 1-41, 12.2023

Creator: Djeddi, Warith Eddine
Hermi, Khalil
Ben Yahia, Sadok
Diallo, Gayo

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12859-023-05593-6

URN: urn:nbn:de:101:1-2024030321173461869752

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

Last update: 14.08.2025, 10:48 AM CEST

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Djeddi, Warith Eddine
Hermi, Khalil
Ben Yahia, Sadok
Diallo, Gayo
SpringerLink (Online service)

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Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

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Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Graph-Based Translation Via Graph Segmentation

Graph-Based Procedural Abstraction

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Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Graph-Based Translation Via Graph Segmentation

Graph-Based Procedural Abstraction

Graph-based Object Understanding

Hochschulschrift

Structural graph-based metamodel matching

Graph-Based RDF Data Management

Graph-based code pattern extraction

Hochschulschrift

Structural Graph-based Metamodel Matching

Iterative heterogeneous graph learning for knowledge graph-based recommendation

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Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

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Other Objects (12)

Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Graph-Based Translation Via Graph Segmentation

Graph-Based Procedural Abstraction

Graph-based Object Understanding

Structural graph-based metamodel matching

Graph-Based RDF Data Management

Graph-based code pattern extraction

Structural Graph-based Metamodel Matching

Iterative heterogeneous graph learning for knowledge graph-based recommendation

Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Graph-Based Translation Via Graph Segmentation

Graph-Based Procedural Abstraction

Graph-based Object Understanding

Structural graph-based metamodel matching

Graph-Based RDF Data Management

Graph-based code pattern extraction

Structural Graph-based Metamodel Matching

Iterative heterogeneous graph learning for knowledge graph-based recommendation

Correction: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding

Hierarchical stochastic graphlet embedding for graph-based pattern recognition

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Graph-Based Translation Via Graph Segmentation

Graph-Based Procedural Abstraction

Graph-based Object Understanding

Structural graph-based metamodel matching

Graph-Based RDF Data Management

Graph-based code pattern extraction

Structural Graph-based Metamodel Matching

Iterative heterogeneous graph learning for knowledge graph-based recommendation

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