Cargando…
TBGA: a large-scale Gene-Disease Association dataset for Biomedical Relation Extraction
BACKGROUND: Databases are fundamental to advance biomedical science. However, most of them are populated and updated with a great deal of human effort. Biomedical Relation Extraction (BioRE) aims to shift this burden to machines. Among its different applications, the discovery of Gene-Disease Associ...
Autores principales: | Marchesin, Stefano, Silvello, Gianmaria |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973894/ https://www.ncbi.nlm.nih.gov/pubmed/35361129 http://dx.doi.org/10.1186/s12859-022-04646-6 |
Ejemplares similares
-
Building a large gene expression-cancer knowledge base with limited human annotations
por: Marchesin, Stefano, et al.
Publicado: (2023) -
MedTAG: a portable and customizable annotation tool for biomedical documents
por: Giachelle, Fabio, et al.
Publicado: (2021) -
BioRel: towards large-scale biomedical relation extraction
por: Xing, Rui, et al.
Publicado: (2020) -
Empowering digital pathology applications through explainable knowledge extraction tools
por: Marchesin, Stefano, et al.
Publicado: (2022) -
BioRED: a rich biomedical relation extraction dataset
por: Luo, Ling, et al.
Publicado: (2022)