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MetAssign: probabilistic annotation of metabolites from LC-MS data using a Bayesian clustering approach.
Daly, Rónán; Rogers, Simon; Wandy, Joe; Jankevics, Andris; Burgess, Karl E V; Breitling, Rainer.
Afiliação
  • Daly R; School of Computing Science, University of Glasgow, Glasgow, Manchester Institute of Biotechnology, Faculty of Life Sciences, University of Manchester, Manchester and Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • Rogers S; School of Computing Science, University of Glasgow, Glasgow, Manchester Institute of Biotechnology, Faculty of Life Sciences, University of Manchester, Manchester and Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • Wandy J; School of Computing Science, University of Glasgow, Glasgow, Manchester Institute of Biotechnology, Faculty of Life Sciences, University of Manchester, Manchester and Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • Jankevics A; School of Computing Science, University of Glasgow, Glasgow, Manchester Institute of Biotechnology, Faculty of Life Sciences, University of Manchester, Manchester and Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • Burgess KE; School of Computing Science, University of Glasgow, Glasgow, Manchester Institute of Biotechnology, Faculty of Life Sciences, University of Manchester, Manchester and Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
  • Breitling R; School of Computing Science, University of Glasgow, Glasgow, Manchester Institute of Biotechnology, Faculty of Life Sciences, University of Manchester, Manchester and Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Bioinformatics ; 30(19): 2764-71, 2014 Oct.
Article em En | MEDLINE | ID: mdl-24916385
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Espectrometria de Massas / Cromatografia Líquida / Metabolômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Espectrometria de Massas / Cromatografia Líquida / Metabolômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Reino Unido