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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Autor*in:	José Rodríguez [verfasserIn] David R. Killick [verfasserIn] Lorenzo Ressel [verfasserIn] Antonio Espinosa de los Monteros [verfasserIn] Angelo Santana [verfasserIn] Samuel Beck [verfasserIn] Francesco Cian [verfasserIn] Jenny S. McKay [verfasserIn] P. J. Noble [verfasserIn] Gina L. Pinchbeck [verfasserIn] David A. Singleton [verfasserIn] Alan D. Radford [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Übergeordnetes Werk:	In: Scientific Data - Nature Portfolio, 2015, 8(2021), 1, Seite 11
Übergeordnetes Werk:	volume:8 ; year:2021 ; number:1 ; pages:11

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41597-021-01039-x

Katalog-ID:	DOAJ076139999

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author	José Rodríguez
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title	A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
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title_sort	text-mining based analysis of 100,000 tumours affecting dogs and cats in the united kingdom
title_auth	A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
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
abstractGer	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
abstract_unstemmed	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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title_short	A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom
url	https://doi.org/10.1038/s41597-021-01039-x https://doaj.org/article/7636a439fa3a487a9d2a8b001dce264c https://doaj.org/toc/2052-4463
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A text-mining based analysis of 100,000 tumours affecting dogs and cats in the United Kingdom

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