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MSstatsShiny: A GUI for Versatile, Scalable, and Reproducible Statistical Analyses of Quantitative Proteomic Experiments.
Kohler, Devon; Kaza, Maanasa; Pasi, Cristina; Huang, Ting; Staniak, Mateusz; Mohandas, Dhaval; Sabido, Eduard; Choi, Meena; Vitek, Olga.
Afiliação
  • Kohler D; Khoury College of Computer Science, Northeastern University, Boston, Massachusetts 02115, United States.
  • Kaza M; Khoury College of Computer Science, Northeastern University, Boston, Massachusetts 02115, United States.
  • Pasi C; Universitat Oberta de Catalunya, Barcelona 08018, Spain.
  • Huang T; Khoury College of Computer Science, Northeastern University, Boston, Massachusetts 02115, United States.
  • Staniak M; University of Wroclaw, Wroclaw 50-137, Poland.
  • Mohandas D; EXL Service, New York, New York 10022, United States.
  • Sabido E; Center for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona 08003, Spain.
  • Choi M; Universitat Pompeu Fabra, Barcelona 08002, Spain.
  • Vitek O; MPL, Genentech, South San Francisco, California 94080, United States.
J Proteome Res ; 22(2): 551-556, 2023 02 03.
Article em En | MEDLINE | ID: mdl-36622173
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article