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Research Article

A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data

  • Sandra Ortega-Martorell,

    Affiliation: Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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  • Héctor Ruiz,

    Affiliation: Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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  • Alfredo Vellido,

    Affiliation: Department of Computer Languages and Systems, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain

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  • Iván Olier,

    Affiliation: Institute of Population Health, The University of Manchester, Manchester, United Kingdom

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  • Enrique Romero,

    Affiliation: Department of Computer Languages and Systems, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain

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  • Margarida Julià-Sapé,

    Affiliations: Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain, Departament de Bioquímica i Biología Molecular, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain, Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain

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  • José D. Martín,

    Affiliation: Departamento de Ingeniería Electrónica, Universidad de Valencia, Burjassot, Spain

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  • Ian H. Jarman,

    Affiliation: Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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  • Carles Arús,

    Affiliations: Departament de Bioquímica i Biología Molecular, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain, Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain

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  • Paulo J. G. Lisboa mail

    P.J.Lisboa@ljmu.ac.uk

    Affiliation: Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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  • Published: December 23, 2013
  • DOI: 10.1371/journal.pone.0083773

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