tmVar 3.0: an improved variant concept recognition and normalization tool

MOTIVATION: Previous studies have shown that automated text-mining tools are becoming increasingly important for successfully unlocking variant information in scientific literature at large scale. Despite multiple attempts in the past, existing tools are still of limited recognition scope and precis...

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Detalles Bibliográficos
Autores principales: Wei, Chih-Hsuan, Allot, Alexis, Riehle, Kevin, Milosavljevic, Aleksandar, Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477515/
https://www.ncbi.nlm.nih.gov/pubmed/35904569
http://dx.doi.org/10.1093/bioinformatics/btac537

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477515/
https://www.ncbi.nlm.nih.gov/pubmed/35904569
http://dx.doi.org/10.1093/bioinformatics/btac537

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