Using ODIN for a PharmGKB revalidation experiment

The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated...

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Detalles Bibliográficos
Autores principales: Rinaldi, Fabio, Clematide, Simon, Garten, Yael, Whirl-Carrillo, Michelle, Gong, Li, Hebert, Joan M., Sangkuhl, Katrin, Thorn, Caroline F., Klein, Teri E., Altman, Russ B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332569/
https://www.ncbi.nlm.nih.gov/pubmed/22529178
http://dx.doi.org/10.1093/database/bas021
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author Rinaldi, Fabio
Clematide, Simon
Garten, Yael
Whirl-Carrillo, Michelle
Gong, Li
Hebert, Joan M.
Sangkuhl, Katrin
Thorn, Caroline F.
Klein, Teri E.
Altman, Russ B.
author_facet Rinaldi, Fabio
Clematide, Simon
Garten, Yael
Whirl-Carrillo, Michelle
Gong, Li
Hebert, Joan M.
Sangkuhl, Katrin
Thorn, Caroline F.
Klein, Teri E.
Altman, Russ B.
author_sort Rinaldi, Fabio
collection PubMed
description The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated into the curation workflow of a major biological database. We evaluate in particular (i) the usability of the system's interface, as perceived by users, and (ii) the correlation of the ranking of interactions, as provided by the text-mining system, with the choices of the curators.
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spelling pubmed-33325692012-04-23 Using ODIN for a PharmGKB revalidation experiment Rinaldi, Fabio Clematide, Simon Garten, Yael Whirl-Carrillo, Michelle Gong, Li Hebert, Joan M. Sangkuhl, Katrin Thorn, Caroline F. Klein, Teri E. Altman, Russ B. Database (Oxford) Original Article The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated into the curation workflow of a major biological database. We evaluate in particular (i) the usability of the system's interface, as perceived by users, and (ii) the correlation of the ranking of interactions, as provided by the text-mining system, with the choices of the curators. Oxford University Press 2012-04-23 /pmc/articles/PMC3332569/ /pubmed/22529178 http://dx.doi.org/10.1093/database/bas021 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Rinaldi, Fabio
Clematide, Simon
Garten, Yael
Whirl-Carrillo, Michelle
Gong, Li
Hebert, Joan M.
Sangkuhl, Katrin
Thorn, Caroline F.
Klein, Teri E.
Altman, Russ B.
Using ODIN for a PharmGKB revalidation experiment
title Using ODIN for a PharmGKB revalidation experiment
title_full Using ODIN for a PharmGKB revalidation experiment
title_fullStr Using ODIN for a PharmGKB revalidation experiment
title_full_unstemmed Using ODIN for a PharmGKB revalidation experiment
title_short Using ODIN for a PharmGKB revalidation experiment
title_sort using odin for a pharmgkb revalidation experiment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332569/
https://www.ncbi.nlm.nih.gov/pubmed/22529178
http://dx.doi.org/10.1093/database/bas021
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