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Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches

BACKGROUND: Link prediction in biomedical graphs has several important applications including predicting Drug-Target Interactions (DTI), Protein-Protein Interaction (PPI) prediction and Literature-Based Discovery (LBD). It can be done using a classifier to output the probability of link formation be...

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Detalles Bibliográficos
Autores principales:	Crichton, Gamal, Guo, Yufan, Pyysalo, Sampo, Korhonen, Anna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963080/ https://www.ncbi.nlm.nih.gov/pubmed/29783926 http://dx.doi.org/10.1186/s12859-018-2163-9

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