A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom



Rodriguez, Jose, Killick, David R ORCID: 0000-0002-8787-7651, Ressel, Lorenzo ORCID: 0000-0002-6614-1223, Espinosa de los Monteros, Antonio, Santana, Angelo, Beck, Samuel, Cian, Francesco, McKay, Jenny S, Noble, PJ, Pinchbeck, Gina L ORCID: 0000-0002-5671-8623
et al (show 2 more authors) (2021) A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom. SCIENTIFIC DATA, 8 (1).

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Item Type: Article
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences
Depositing User: Symplectic Admin
Date Deposited: 02 Nov 2021 13:40
Last Modified: 05 Oct 2022 20:31
DOI: 10.1038/s41597-021-01039-x
Open Access URL: https://doi.org/10.1038/s41597-021-01039-x
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3142511