Overview of the COVID-19 text mining tool interactive demonstration track in BioCreative VII

The coronavirus disease 2019 (COVID-19) pandemic has compelled biomedical researchers to communicate data in real time to establish more effective medical treatments and public health policies. Nontraditional sources such as preprint publications, i.e. articles not yet validated by peer review, have...

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Detalles Bibliográficos
Autores principales: Chatr-aryamontri, Andrew, Hirschman, Lynette, Ross, Karen E, Oughtred, Rose, Krallinger, Martin, Dolinski, Kara, Tyers, Mike, Korves, Tonia, Arighi, Cecilia N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534061/
https://www.ncbi.nlm.nih.gov/pubmed/36197453
http://dx.doi.org/10.1093/database/baac084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534061/
https://www.ncbi.nlm.nih.gov/pubmed/36197453
http://dx.doi.org/10.1093/database/baac084

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