Cargando…
Multi-ontology embeddings approach on human-aligned multi-ontologies representation for gene-disease associations prediction()
OBJECTIVES: Knowledge graphs and ontologies in the biomedical domain provide rich contextual knowledge for a variety of challenges. Employing that for knowledge-driven NLP tasks such as gene-disease association prediction represents a promising way to increase the predictive power of a model. METHOD...
Autores principales: | Wang, Yihao, Wegner, Philipp, Domingo-Fernández, Daniel, Tom Kodamullil, Alpha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651438/ https://www.ncbi.nlm.nih.gov/pubmed/38027969 http://dx.doi.org/10.1016/j.heliyon.2023.e21502 |
Ejemplares similares
-
The Epilepsy Ontology: a community-based ontology tailored for semantic interoperability and text mining
por: Sargsyan, Astghik, et al.
Publicado: (2023) -
Biomedical ontology alignment: an approach based on representation learning
por: Kolyvakis, Prodromos, et al.
Publicado: (2018) -
PDON: Parkinson’s disease ontology for representation and modeling of the Parkinson’s disease knowledge domain
por: Younesi, Erfan, et al.
Publicado: (2015) -
The COVID-19 Ontology
por: Sargsyan, Astghik, et al.
Publicado: (2020) -
Cross-Ontology Multi-level Association Rule Mining in the Gene Ontology
por: Manda, Prashanti, et al.
Publicado: (2012)