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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