SYT13 and amyotrophic lateral sclerosis: To identify these transcriptional similarities in the context of disease progression, we then used a machine learning approach to integrate the SYT13+/− transcriptome with the signature obtained from post-mortem samples of ALS patients [32] and identified 60 genes (Supplementary Table 1C) significantly correlating with both datasets (Fig. 4B).