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Figure 4 | BMC Bioinformatics

Figure 4

From: Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

Figure 4

An example of randomly missing data imputation. Here, the left-most pane shows the inferred mean function for the gene g n (t), and the next three panes show three replications, in the last of which the missing data imputation occurs. Other replications are omitted for brevity. The final panel shows a zoom of the imputed region (boxed in the previous panel). Imputation by the HGP is marked by a circle on the mean function; replicate median is denoted by a square; PCA is denoted by a diamond and KNN by a triangle. The HGP imputation is closer to the replicable statistic, being less affected by cross-sectional noise effects than the other methods.

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