A Statistical Approach for Identifying the Best Combination of Normalization and Imputation Methods for Label-Free Proteomics Expression Data.
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DOI: 10.1021/acs.jproteome.4c00552
Abstract: Label-free proteomics expression data sets often exhibit data heterogeneity and missing values, necessitating the development of effective normalization and imputation methods. The selection of appropriate normalization and imputation methods is inherently data-specific, and choosing the… read more here.
Keywords: imputation methods; normalization; normalization imputation; approach ... See more keywords