Cargando…
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...
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: | |
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 |
Ejemplares similares
-
tmChem: a high performance approach for chemical named entity recognition and normalization
por: Leaman, Robert, et al.
Publicado: (2015) -
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC
por: Allot, Alexis, et al.
Publicado: (2018) -
Normalization of drug and therapeutic concepts with Thera-Py
por: Cannon, Matthew, et al.
Publicado: (2023) -
Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability
por: Leaman, Robert, et al.
Publicado: (2020) -
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative
por: Pradhan, Sameer, et al.
Publicado: (2015)