Table 3 RBMMMDA is a global ranking method, which could predict potential multiple association types of miRNA-disease pairs for all the diseases simultaneously.

From: RBMMMDA: predicting multiple types of disease-microRNA associations

Disease

miRNA

Type

Evidence (PMID)

Breast Neoplasms

hsa-let-7i

1

24662829;21826373

Breast Neoplasms

hsa-let-7d

1

 

Prostatic Neoplasms

hsa-mir-34c

3

 

Breast Neoplasms

hsa-let-7b

1

21826373;23339187;24264599;22761738

Breast Neoplasms

hsa-let-7g

1

21868760

Breast Neoplasms

hsa-let-7a

1

24172884

Breast Neoplasms

hsa-let-7e

1

 

Carcinoma, Hepatocellular

hsa-mir-34b

3

24704024

Breast Neoplasms

hsa-mir-183

2

 

Stomach Neoplasms

hsa-mir-34a

1

24837198

Carcinoma, Hepatocellular

hsa-mir-34c

3

 

Neoplasms

hsa-mir-145

1

24999188;24801908; 24690171;24642628

Breast Neoplasms

hsa-let-7f

1

22407818;25552929

Breast Neoplasms

hsa-mir-193b

1

25550792;25213330;19701247;21512034;19684618

Breast Neoplasms

hsa-mir-221

2

25009660;22156446

Breast Neoplasms

hsa-mir-92a

4

 

Breast Neoplasms

hsa-mir-18a

2

24694649;23705859

Breast Neoplasms

hsa-mir-216a

2

 

Carcinoma, Hepatocellular

hsa-mir-34a

3

24704024

Breast Neoplasms

hsa-mir-138

1

25339353;20332227;

  1. Therefore, RBMMMDA was further applied to simultaneously rank all the candidate miRNA-disease associations. As a result, 13 of top 20 potential associations have experimental evidences.