In comparison, a state-of-the-art time-series classification approach (Hydra) enables higher strain classification at 98%, comparable<i>TSC1</i>-genotype prediction for the two strains (86% and 71% respectively), but the method is not interpretable.<i>Significance.</i>The methodologies and results show the potential of EEG waveforms as interpretable phenotypes and bag-of-waves as a feature representation for identifying epilepsy genotypes. Here, TSC1 is linked to epilepsy.