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...

Descripción completa

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

Internet

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

Ejemplares similares