Skip to main content

Table 3 Reliability of databases.

From: Improving miRNA-mRNA interaction predictions

 

(1)

(2)

(3)

(4)

(5)

(6)

Method

Zscore

# int. Zscore

# DDBB

# EV

# EV / # DB

% drawn

LRS

-89.27

163829

4669137

4286

9.18E-04

9.2

WSP

-84.52

123589

4669137

4286

9.18E-04

6.94

EiMMo

-61.87

191582

1781671

2949

1.66E-03

10.75

DIANA-microT

-54.51

269525

2889574

3010

1.31E-03

11.77

http://www.microrna.org

-21.2

134227

737379

2685

3.64E-03

18.2

microcosm

-17.99

6035

352016

784

2.23E-03

1.71

PITA

-15.2

75683

206722

1425

6.89E-03

36.61

TargetSpy

-14

178114

300000

653

2.18E-03

59.37

miRWalk

-9.92

422089

780000

1243

1.59E-03

54.11

TargetScan

-9.29

19491

132809

1832

1.38E-02

14.68

mirTarget

-5.08

149088

691265

234

3.39E-04

21.57

  1. (1) Minimum z-score of a hypergeometric distribution. The lower the z-score the more statistically significant the enrichment in experimentally validated interactions is. (2) Number of interactions for the minimum z-score. (3) Total number of interactions in the database. (4) Number of experimentally validated (EV) interactions in the database. (5) Proportion of EV interactions within the database. (6) Proportion of selected interactions in the database for the minimum z-score.