Table 2.

Performance of model training without gene weight layer in different r-radius

Features	r-radius	MSE	$R^2$
Gene expression	1	1.0765	0.8489
	2	0.9727	0.8634
	3	1.0763	0.8489
Gene expression + genetic mutation	1	1.0663	0.8503
	2	0.9853	0.8616
	3	1.1061	0.8447

Bold values represents the result is the best performance among the models participating in the comparison