2021
DOI: 10.21203/rs.3.rs-298864/v1
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Comparative Assessment and Outlook on Methods for Imputing Proteomics Data

Abstract: Background: Missing values are a major issue in quantitative proteomics data analysis. While many methods have been developed for imputing missing values in high-throughput proteomics data, comparative assessment on the accuracy of existing methods remains inconclusive, mainly because the true missing mechanisms are complex and the existing evaluation methodologies are imperfect. Moreover, few studies have provided an outlook of current and future development.Results: We first report an assessment of eight rep… Show more

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