Independent component analysis recovers consistent regulatory signals from disparate datasets
Fig 5
Decomposition of combined compendium results in increased resolution (A) Schematic illustration of data integration. (B) Pie chart showing the categories of the 181 iModulons from the combined dataset. (C) Heatmap illustrating which iModulons from the combined compendium were matched to iModulons in individual datasets in the RBH graph. The total number of matches for each iModulon is shown in blue. Category of each iModulon is shown below. (D) Heatmap illustrating how many iModulons from each category and dataset were not matched to an iModulon in the full compendium in the RBH graph. (E) Pie chart illustrating the fraction of expression difference resulting from ppGpp-RNAP binding explained by each iModulon. The norfloxacin-related iModulon is described in S7E Fig. (F) Boxplot of the Central Dogma iModulon activities for expression profiles in the RNAseq-1 dataset. (G) Principal component loadings of the combined compendium expression levels without batch correction. (H) Principal component loadings of the iModulon activities from the combined compendium.