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Practical Approaches for Mining Frequent Patterns in Molecular Datasets.
Naulaerts, Stefan; Moens, Sandy; Engelen, Kristof; Berghe, Wim Vanden; Goethals, Bart; Laukens, Kris; Meysman, Pieter.
Afiliação
  • Naulaerts S; Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.; Biomedical Informatics Research Center Antwerpen (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.
  • Moens S; Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.
  • Engelen K; Department of Computational Biology, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.
  • Berghe WV; Department of Biomedical Sciences, Laboratory of Protein Science, Proteomics and Epigenetic Signaling (PPES), University of Antwerp, Antwerp, Belgium.
  • Goethals B; Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.
  • Laukens K; Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.; Biomedical Informatics Research Center Antwerpen (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.
  • Meysman P; Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium.; Biomedical Informatics Research Center Antwerpen (Biomina), University of Antwerp/Antwerp University Hospital, Antwerp, Belgium.
Bioinform Biol Insights ; 10: 37-47, 2016.
Article em En | MEDLINE | ID: mdl-27168722
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Bioinform Biol Insights Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Bélgica
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Bioinform Biol Insights Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Bélgica