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. Author manuscript; available in PMC: 2016 Mar 3.
Published in final edited form as: J Proteome Res. 2015 Apr 22;14(5):1993–2001. doi: 10.1021/pr501138h

Figure 3.

Figure 3

95% confidence intervals of the ranks to compare all imputation algorithms based on classification accuracy for the mouse lung and human plasma data at the peptide level (A, C) and at the protein level (B, D), respectively. Single-value imputation algorithms are colored black, local imputation algorithms are red, and methods that estimate the principal components directly from the data without imputation are blue. Imputation algorithms with no overlap in their confidence intervals are statistically different at α of 0.05, and larger rank is equivalent to larger classification accuracy (shown as percent).