SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction

Table 2

Prediction result of SRMDAP and other methods for LOOCV.

Disease names	Number of related_miRNAs	AUC
		SRMDAP	RLSMDA	KATZ	Liu’s method
Carcinoma, hepatocellular	208	0.7639	0.6909	0.6881	0.4807
Breast neoplasms	197	0.7776	0.6814	0.6779	0.4147
Stomach neoplasms	174	0.7591	0.6635	0.6791	0.5498
Colorectal neoplasms	143	0.7929	0.6647	0.6895	0.4699
Melanoma	136	0.7958	0.6584	0.6673	0.4804
Lung neoplasms	128	0.8874	0.7198	0.7675	0.5243
Heart failure	120	0.7538	0.6608	0.6622	0.5040
Prostatic neoplasms	116	0.8076	0.6704	0.7054	0.5440
Ovarian neoplasms	112	0.8732	0.7194	0.7705	0.5382
Carcinoma, renal cell	104	0.7367	0.5815	0.6126	0.4932
Pancreatic neoplasms	97	0.8687	0.6829	0.7288	0.5355
Carcinoma, non-small-cell lung	94	0.8322	0.6873	0.6981	0.5470
Glioblastoma	94	0.7686	0.6421	0.6522	0.5644
Urinary bladder neoplasms	90	0.7935	0.6231	0.6635	0.5475
Carcinoma, squamous cell	78	0.8637	0.7179	0.7200	0.5398
Colonic neoplasms	77	0.8271	0.6582	0.6859	0.5490
Glioma	71	0.8212	0.6727	0.7146	0.5591
Esophageal neoplasms	70	0.7789	0.6126	0.6383	0.4781