Find in Library
Search millions of books, articles, and more
Indexed Open Access Databases
A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
oleh: José Rodríguez, David R. Killick, Lorenzo Ressel, Antonio Espinosa de los Monteros, Angelo Santana, Samuel Beck, Francesco Cian, Jenny S. McKay, P. J. Noble, Gina L. Pinchbeck, David A. Singleton, Alan D. Radford
Format: | Article |
---|---|
Diterbitkan: | Nature Portfolio 2021-10-01 |
Deskripsi
Measurement(s) tumour Technology Type(s) digital curation • text mining Factor Type(s) animal species • breed • sex • neuter status Sample Characteristic - Organism Canis lupus familiaris • Felis catus Sample Characteristic - Location United Kingdom Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15074079