Figure S7.

Effects of Aging through Several Cell Types and Machine-Learning-Based Age Prediction, Related to Figures 5 and 6

(A) Scatterplot showing the ratio of the number of UMIs of old cells versus young cells against the time constant derived from the exponential decline model. Colors are a measure for the goodness of fit (R²).

(B) Decline in number of UMIs for the peptidergic neurons.

(C) Diffusion maps of the diffusion components mostly correlated with age for the mushroom body and dopaminergic neurons. Separation by age is mostly driven by the number UMIs.

(D) Boxplots showing a decline in synthesis of mitochondrial proteins (new), with only a slight increase in old proteins (mature).

(E) Performance of the Random Forest Regressor age prediction for the different Seurat clusters and distinct major groups. Possible confounding variables are shown. The diffusion component most correlated with age is shown; when no specification is made, DC1 is the major correlate.