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Table 7 Statistical validation of the different gene prioritization strategies employed in this work (independently and in combination). Hypergeometric test, random bootstrap sampling experiment and enrichment features of the different gene prioritization strategies

From: Efficient and biologically relevant consensus strategy for Parkinson’s disease gene prioritization

 

Hypergeometric Test

Random Bootstrap Sampling (100 Generations)

Enrichment

 

n

m

p-value

Mean

Median

Min.

Max.

Std. Dev.

p-value (W)

Fold-Enrichment

TP Rate

Limma

134

10

0.0295

5.0410

5

0

17

2.1852

<0.0001

1.9837

0.0746

ML

168

11

0.0520

6.3211

6

0

22

2.4421

<0.0001

1.7402

0.0655

ML Limma

246

14

0.0805

9.2609

9

0

25

2.9426

<0.0001

1.5117

0.0569

PD_02

1437

73

0.0034

55.4259

55

25

87

6.6392

<0.0001

1.3171

0.0508

PD_07

494

26

0.0512

18.5957

18

2

41

4.1038

<0.0001

1.3982

0.0526

PD_02 PD_07

1931

99

0.0003

72.6709

73

37

112

7.3516

<0.0001

1.3623

0.0513

Concensus

50

7

0.0025

1.8817

2

0

10

1.3407

<0.0001

3.7200

0.1400

  1. n: number or genes in the prioritized PD module; m: number of known PD related genes in GAD found in the prioritized module; p-value: hypergeometric probability of finding by chance k or more known PD related genes in a set of n prioritized genes; Mean/Median/Min./Max./Std. Dev.: average/median/minimum/maximum/standard deviation of the number of known PD related genes in GAD included in randomly selected gene sets with the same number of genes as the corresponding set of prioritized genes; Fold-enrichment: fold difference between m and Mean (Fold-enrichment = m/Mean); TP Rate: ratio of known PD related genes in n (TP Rate = m/n)