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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization

Fig. 3

Post-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 components

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