Fig. 3From: Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualizationPost-normalization visualizations for A simple box plot of abundance (log10 scale) values for each normalization method, B effects of normalization on variance and dynamic range (95%CI Log10 abundance), note randomforest’s ability to dramatically lower the variance without effecting the overall dynamic range, which can also be visualized in D where the CVs (averaged red line, heat map dark blue hexagons) are plotted as a function of Log10 abundance, showing that higher CVs are prominent at lower abundances as expected, and C showing the cumulative variance from PCA analysis over the principal componentsBack to article page