From these RNA-seq data, we selected MNs (N = 115) only, based on their coexpression of SLC18A3 and ISL1. We used a random forest classifier (Breiman 2001) as our machine learning approach to evaluate if our DEGs could classify these MNs into ALS or control (Fig. 6B). This evidence concerns the gene SLC18A3 and amyotrophic lateral sclerosis.