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Table 2 AUC value of compared five methods for 18 diseases

From: FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs

Disease names No. of related miRNAs FCMDAP SRMDAP RLSMDA KATZ Liu’s method
Carcinoma, Hepatocellular 208 0.7572 0.7639 0.6909 0.6881 0.4807
Breast Neoplasms 197 0.7733 0.7776 0.6814 0.6779 0.4147
Stomach Neoplasms 174 0.7658 0.7591 0.6635 0.6791 0.5498
Colorectal Neoplasms 143 0.7904 0.7929 0.6647 0.6895 0.4699
Melanoma 136 0.8300 0.7958 0.6584 0.6673 0.4804
Lung Neoplasms 128 0.8688 0.8874 0.7198 0.7675 0.5243
Heart Failure 120 0.7737 0.7538 0.6608 0.6622 0.5040
Prostatic Neoplasms 116 0.8185 0.8076 0.6704 0.7054 0.5440
Ovarian Neoplasms 112 0.8684 0.8732 0.7194 0.7705 0.5382
Carcinoma, Renal Cell 104 0.7878 0.7367 0.5815 0.6126 0.4932
Pancreatic Neoplasms 97 0.8837 0.8687 0.6829 0.7288 0.5355
Carcinoma, Non-Small-Cell Lung 94 0.8417 0.8322 0.6873 0.6981 0.5470
Glioblastoma 94 0.8383 0.7686 0.6421 0.6522 0.5644
Urinary Bladder Neoplasms 90 0.8214 0.7935 0.6231 0.6635 0.5475
Carcinoma, Squamous Cell 78 0.8640 0.8637 0.7179 0.7200 0.5398
Colonic Neoplasms 77 0.8278 0.8271 0.6582 0.6859 0.5490
Glioma 71 0.8679 0.8212 0.6727 0.7146 0.5591
Esophageal Neoplasms 70 0.7723 0.7789 0.6126 0.6383 0.4781
Average AUC value   0.8195 0.8057 0.6671 0.6901 0.5178