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Figure 9 | BMC Bioinformatics

Figure 9

From: Stronger findings from mass spectral data through multi-peak modeling

Figure 9

Example clusters of peaks from the lipidomic gene silencing data with differences in the covariate effects inferred based on a single peak and multiple peaks. The heat maps show changes in the lipid concentrations driven by the gene silencing interventions (columns). Covariate effects inferred by Models 3 and 1 using a single peak and all peaks, respectively, are shown on the two bottom rows of each heat map. The log2 fold changes of each peak associated with the compound are shown on the top rows. Changes that by the magnitude fall to the top-5% across the entire observed lipidome are highlighted by the symbol ”T.“ Top (a): The sphingomyelin SM(d18:1-22:0) with three peaks. Many strong changes for SM(d18:1-22:0) became weaker when they were inferred based on all three peaks. Bottom (b): The ceramide Cer(d18:1-17:0) with six peaks. The effect of the SCAP silencing for Cer(d18:1-17:0) at 72 hours became strong when it was inferred based on all six peaks.

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