A Bayesian mixture modelling approach for spatial proteomics

• Oliver M. Crook,

  Roles Conceptualization, Formal analysis, Funding acquisition, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Computational Proteomics Unit, Department of Biochemistry, University of Cambridge, Cambridge, UK, Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK, MRC Biostatistics Unit, Cambridge Institute for Public Health, Cambridge, UK

  http://orcid.org/0000-0001-5669-8506

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• Claire M. Mulvey,

  Roles Data curation, Writing – review & editing

  Affiliation Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK

  http://orcid.org/0000-0002-2989-2052

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• Paul D. W. Kirk,

  Roles Conceptualization, Methodology, Supervision, Validation, Writing – review & editing

  Affiliation MRC Biostatistics Unit, Cambridge Institute for Public Health, Cambridge, UK

  http://orcid.org/0000-0002-5931-7489

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• Kathryn S. Lilley,

  Roles Funding acquisition, Writing – review & editing

  Affiliation Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK

  http://orcid.org/0000-0003-0594-6543

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• Laurent Gatto

  Roles Conceptualization, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing – review & editing

  * E-mail: laurent.gatto@uclouvain.be

  Current address: de Duve Institute, UCLouvain, Brussels, Belgium

  Affiliations Computational Proteomics Unit, Department of Biochemistry, University of Cambridge, Cambridge, UK, Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK

  http://orcid.org/0000-0002-1520-2268

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