RecRWR: A Recursive Random Walk Method for Improved Identification of Diseases

Table 1

Comparison of the AUC for the analysed methods.

	0%	20%	40%	60%
AUC-RWR	0.9866	0.9453	0.8894	0.8435
(%)		−4.36%	−6.29%	−5.44%
AUC-RWR all data	0.9866	0.9417	0.8838	0.8115
(%)		−4.77%	−6.55%	−8.91%
AUC-RecRWR	0.9856	0.9834	0.9534	0.9072
(%)		−0.22%	−3.15%	−5.09%