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. Author manuscript; available in PMC: 2022 Apr 11.
Published in final edited form as: J Proteome Res. 2020 Sep 25;20(1):1–13. doi: 10.1021/acs.jproteome.0c00123

Figure 1.

Figure 1.

Evaluation of the missing data for the labeled CPTAC data set shows (A) a marginal negative correlation between the mean log2 abundance (before normalization to the reference pool) and the percentage of missing data and (C) that within a 4-plex experiment that the majority of peptides are either all present or all absent for the three nonreference samples. For a similar unlabeled CPTAC data set it is observed that (B) there is a similar negative correlation between log2 abundance (before normalization) and missing data, but for (D) sampling of data in a 4-plex manner yields varying probabilities across the number that will be present or absent.