Figure 3

General statistics of the applied regression model. a: Histogram plot indicating how much variance within the gene expression patterns could be explained by the regression model for all (differentially expressed) genes. The black bars indicate the percentage of explained variance when excluding the variance present in the replicates, and which, therefore, cannot be explained by the regression model. Above the histogram are the mean and variance of the average expression level (AE), the F-statistic (FS) and the number of selected cultivation parameters (NCP) for the groups of genes with explained variance (including replicate variance) as stated on the x-axis of the histogram. b: Histogram plot indicating the number of single and combinatorial effects as well as the total number of effects that were selected to explain the observed gene expression patterns. c: Histogram plot indicating the number of genes influenced by particular cultivation parameters, either as a single effect, AND effect, OR effect or independent of the effect type ('all effects'). The 'all effects' bar is not the sum of the other three, because genes can be affected by a cultivation parameter both as a single effect and as a combinatorial effect.