when mutations in coding locations in the genome frequently obtain significant attention, it is important to acknowledge the value of mutations in non-coding regions. AI algorithms have shown a chance to forecast accurately the impression of mutations on gene expression and prioritize regulatory variants. Characterizing these biases is vital for