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

Javier Corvi et al. (2025)

> Home

Details and statistics

DOI: 10.1186/S13321-024-00925-X

access: open

type: Journal Article

metadata version: 2025-02-27

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jcheminf/CorviDFRCAIABFKNRRSWWDS25
- ask others
- share record
  persistent URL:
  - 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)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.