Back to Search Start Over

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

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
Source :
Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.7636a439fa3a487a9d2a8b001dce264c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-021-01039-x