Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes

BACKGROUND: Identifying human protein-phenotype relationships has attracted researchers in bioinformatics and biomedical natural language processing due to its importance in uncovering rare and complex diseases. Since experimental validation of protein-phenotype associations is prohibitive, automate...

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Detalles Bibliográficos
Autores principales: Pourreza Shahri, Morteza, Kahanda, Indika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520253/
https://www.ncbi.nlm.nih.gov/pubmed/34656098
http://dx.doi.org/10.1186/s12859-021-04421-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520253/
https://www.ncbi.nlm.nih.gov/pubmed/34656098
http://dx.doi.org/10.1186/s12859-021-04421-z

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