STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs

MOTIVATION: The majority of biomedical knowledge is stored in structured databases or as unstructured text in scientific publications. This vast amount of information has led to numerous machine learning-based biological applications using either text through natural language processing (NLP) or str...

Descripción completa

Detalles Bibliográficos
Autores principales: Balabin, Helena, Hoyt, Charles Tapley, Birkenbihl, Colin, Gyori, Benjamin M, Bachman, John, Kodamullil, Alpha Tom, Plöger, Paul G, Hofmann-Apitius, Martin, Domingo-Fernández, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896635/
https://www.ncbi.nlm.nih.gov/pubmed/34986221
http://dx.doi.org/10.1093/bioinformatics/btac001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896635/
https://www.ncbi.nlm.nih.gov/pubmed/34986221
http://dx.doi.org/10.1093/bioinformatics/btac001

Ejemplares similares