"PretoxTM: a text mining system for extracting treatment-related findings ..."

Javier Corvi et al. (2025)

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DOI: 10.1186/S13321-024-00925-X

access: open

type: Journal Article

metadata version: 2025-03-03

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  - journals/jcheminf/CorviDFRCAIABFKNRRSWWDS25
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  - https://dblp.org/rec/journals/jcheminf/CorviDFRCAIABFKNRRSWWDS25
Javier Corvi, Nicolás Díaz-Roussel, José M. Fernández, Francesco Ronzano, Emilio Centeno, Pablo Accuosto, Celine Ibrahim, Shoji Asakura, Frank Bringezu, Mirjam Fröhlicher, Annika Kreuchwig, Yoko Nogami, Jeong Rih, Raul Rodriguez-Esteban, Nicolas Sajot, Jörg Wichard, Heng-Yi Michael Wu, Philip Drew, Thomas Steger-Hartmann, Alfonso Valencia, Laura I. Furlong, Salvador Capella-Gutiérrez:
PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports. J. Cheminformatics 17(1): 15 (2025)

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