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MP-GeneticSynth: inferring biological network regulations from time series.
Castellini, Alberto; Paltrinieri, Daniele; Manca, Vincenzo.
Afiliação
  • Castellini A; Center for BioMedical Computing, Verona University, 37134 Verona, Italy, Max Planck Institute for Molecular Plant Physiology-Syst Bio & Math Modelling Group, 14476, Germany, University of Potsdam, Institute for Biochemistry and Biology - Bioinformatics Group, 14476, Germany and Department of Computer Science, Verona University, 37134 Verona, Italy Center for BioMedical Computing, Verona University, 37134 Verona, Italy, Max Planck Institute for Molecular Plant Physiology-Syst Bio & Math M
  • Paltrinieri D; Center for BioMedical Computing, Verona University, 37134 Verona, Italy, Max Planck Institute for Molecular Plant Physiology-Syst Bio & Math Modelling Group, 14476, Germany, University of Potsdam, Institute for Biochemistry and Biology - Bioinformatics Group, 14476, Germany and Department of Computer Science, Verona University, 37134 Verona, Italy.
  • Manca V; Center for BioMedical Computing, Verona University, 37134 Verona, Italy, Max Planck Institute for Molecular Plant Physiology-Syst Bio & Math Modelling Group, 14476, Germany, University of Potsdam, Institute for Biochemistry and Biology - Bioinformatics Group, 14476, Germany and Department of Computer Science, Verona University, 37134 Verona, Italy Center for BioMedical Computing, Verona University, 37134 Verona, Italy, Max Planck Institute for Molecular Plant Physiology-Syst Bio & Math M
Bioinformatics ; 31(5): 785-7, 2015 Mar 01.
Article em En | MEDLINE | ID: mdl-25344496
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Redes e Vias Metabólicas / Redes Reguladoras de Genes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2015 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Redes e Vias Metabólicas / Redes Reguladoras de Genes / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2015 Tipo de documento: Article País de publicação: Reino Unido