Figure 2: HCS Features are Influenced by MMA^III Concentration and Genetic Background.

(A) Principal Component Analysis (PCA) of the raw image analysis feature dataset colored by the concentration of MMA^III. Among known factors, increasing MMA^III contributed the majority of the variance for both PC1 (41.54 %) and PC2 (8.62 %).

(B) Boxplot showing the aggregated results from variance component analysis (VCA) performed across all cellular features including MMA^III concentrarions (concentration), DO cell lines (individual), each 96-well plate (plate), residual variation, run, and sex.

(D) Heatmap showing the Pearson’s pairwise correlation structure of the all the raw cellular features. Theheatmap and dendrogram were generated using the R package ComplexHeatmap’s Heatmap() function with column_split and row_split each set to 5.