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PolySTest: Robust Statistical Testing of Proteomics Data with Missing Values Improves Detection of Biologically Relevant Features
Authors:Veit Schwmmle  Christina E Hagensen  Adelina Rogowska-Wrzesinska  Ole N Jensen
Institution:1. Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark;2. VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, Odense M, Denmark
Abstract:
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  • Highlights
    • ?Novel statistical test combining missingness and quantitative profiles.
    • ?Unification of different statistical tests into a PolySTest FDR provides higher robustness and confidence.
    • ?PolySTest provides higher coverage of relevant biological pathways.
    • ?User-friendly interactive web service for statistical analysis and visualization.
    Keywords:
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