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Figure mining for biomedical research.

Identifieur interne : 000044 ( PubMed/Curation ); précédent : 000043; suivant : 000045

Figure mining for biomedical research.

Auteurs : Raul Rodriguez-Esteban [États-Unis] ; Ivan Iossifov

Source :

RBID : pubmed:19439564

English descriptors

Abstract

Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types.

DOI: 10.1093/bioinformatics/btp318
PubMed: 19439564

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pubmed:19439564

Le document en format XML

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<name sortKey="Rodriguez Esteban, Raul" sort="Rodriguez Esteban, Raul" uniqKey="Rodriguez Esteban R" first="Raul" last="Rodriguez-Esteban">Raul Rodriguez-Esteban</name>
<affiliation wicri:level="1">
<nlm:affiliation>Systems Biology, Pfizer Inc., Cambridge, MA 02139, USA. raul.rodriguez-esteban@pfizer.com</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Systems Biology, Pfizer Inc., Cambridge, MA 02139</wicri:regionArea>
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<name sortKey="Iossifov, Ivan" sort="Iossifov, Ivan" uniqKey="Iossifov I" first="Ivan" last="Iossifov">Ivan Iossifov</name>
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<name sortKey="Rodriguez Esteban, Raul" sort="Rodriguez Esteban, Raul" uniqKey="Rodriguez Esteban R" first="Raul" last="Rodriguez-Esteban">Raul Rodriguez-Esteban</name>
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<nlm:affiliation>Systems Biology, Pfizer Inc., Cambridge, MA 02139, USA. raul.rodriguez-esteban@pfizer.com</nlm:affiliation>
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<wicri:regionArea>Systems Biology, Pfizer Inc., Cambridge, MA 02139</wicri:regionArea>
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<name sortKey="Iossifov, Ivan" sort="Iossifov, Ivan" uniqKey="Iossifov I" first="Ivan" last="Iossifov">Ivan Iossifov</name>
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<title level="j">Bioinformatics (Oxford, England)</title>
<idno type="eISSN">1367-4811</idno>
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<term>Abstracting and Indexing as Topic (methods)</term>
<term>Biomedical Research</term>
<term>Computational Biology (methods)</term>
<term>Data Mining (methods)</term>
<term>Pattern Recognition, Automated (methods)</term>
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<term>Abstracting and Indexing as Topic</term>
<term>Computational Biology</term>
<term>Data Mining</term>
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<term>Biomedical Research</term>
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<div type="abstract" xml:lang="en">Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types.</div>
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<Year>2009</Year>
<Month>08</Month>
<Day>11</Day>
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<Title>Bioinformatics (Oxford, England)</Title>
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<AbstractText Label="MOTIVATION" NlmCategory="BACKGROUND">Figures from biomedical articles contain valuable information difficult to reach without specialized tools. Currently, there is no search engine that can retrieve specific figure types.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">This study describes a retrieval method that takes advantage of principles in image understanding, text mining and optical character recognition (OCR) to retrieve figure types defined conceptually. A search engine was developed to retrieve tables and figure types to aid computational and experimental research.</AbstractText>
<AbstractText Label="AVAILABILITY" NlmCategory="BACKGROUND">http://iossifovlab.cshl.edu/figurome/.</AbstractText>
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<LastName>Rodriguez-Esteban</LastName>
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<Affiliation>Systems Biology, Pfizer Inc., Cambridge, MA 02139, USA. raul.rodriguez-esteban@pfizer.com</Affiliation>
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{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    PubMed
   |étape=   Curation
   |type=    RBID
   |clé=     pubmed:19439564
   |texte=   Figure mining for biomedical research.
}}

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