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

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 re...

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Bibliographic Details
Published in:Scientific Data
Main Authors: 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 in Journal/Newspaper
Language:English
Published: Nature Portfolio 2021
Subjects:
Science
Q
Canis lupus
Online Access:https://doi.org/10.1038/s41597-021-01039-x
https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c
Description
Summary: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

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