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Table 4 Robustness Analysis.

From: CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions

Noise

Clusters

MIPS Function (-logp)

MIPS Location (-log p)

MIPS Complex (-log p)

0%

50

14.5

8.17

16.5

1%

51

13.8

7.54

15.6

2%

50

14.2

7.66

16.0

3%

49

14.4

7.71

16.7

4%

48

14.3

7.71

16.9

5%

46

14.1

7.67

16.0

10%

42

14.8

8.14

17.5

  1. Noise column represents the percentile of random noise added into DIP PPI dataset. Clusters shows the number of clusters detected. The average -log p values of all detected clusters for MIPS functional, localization, and complex categories are shown.