PIK3CA and cancer: In general, the attention weights are correlated with the alteration frequencies of genes, e.g., common cancer drivers such as TP53 and PIK3CA are the top two SGAs selected by both methods.2 However, our self-attention mechanism assigns high weights to many of genes previously not designated as drivers, indicating these genes are potential cancer drivers although their roles in cancer development remain to be further studied.