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DeePaC: predicting pathogenic potential of novel DNA with reverse-complement neural networks.
Bartoszewicz, Jakub M; Seidel, Anja; Rentzsch, Robert; Renard, Bernhard Y.
Afiliação
  • Bartoszewicz JM; Bioinformatics Unit (MF1), Department of Methodology and Research Infrastructure, Robert Koch Institute, 13353 Berlin, Germany.
  • Seidel A; Department of Mathematics and Computer Science, Free University of Berlin, 14195 Berlin, Germany.
  • Rentzsch R; Bioinformatics Unit (MF1), Department of Methodology and Research Infrastructure, Robert Koch Institute, 13353 Berlin, Germany.
  • Renard BY; Department of Mathematics and Computer Science, Free University of Berlin, 14195 Berlin, Germany.
Bioinformatics ; 36(1): 81-89, 2020 01 01.
Article em En | MEDLINE | ID: mdl-31298694
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article