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Table 1 Frequencies of canonical subgraph patterns in biological networks

From: On the origin of distribution patterns of motifs in biological networks

 

FFL

3-CYC

SIM

MIM

Bifan

(a) Yeast transcription – composite

n

997

4

107

1551

186

μ

993.5

4.2

76.8

1919.2

413.6

σ

281.4

2.4

27.0

233.1

111.1

z

0.0123

-0.0977

0.6734

-1.5792

-2.0479

(b) Yeast transcription – Cell Cycle

n

103

3

27

56

15

μ

79.3

1.9

28.0

76.6

31.7

σ

22.6

1.3

6.9

11.3

7.2

z

1.0491

0.9133

-0.1397

-1.8144

-2.3325

(c) Yeast transcription – Sporulation

n

67

2

27

41

26

μ

38.0

0.6

30.7

53.0

28.8

σ

12.5

0.8

5.1

7.8

7.8

z

2.3148

1.7739

-0.7303

-1.5336

-0.3544

(d) Yeast transcription – Diauxic Shift

n

64

1

48

137

54

μ

63.2

0.3

47.8

141.1

64.4

σ

27.2

0.6

13.7

18.2

16.6

z

0.0301

1.0626

0.0167

-0.2230

-0.6260

(e) Yeast transcription – DNA Damage

n

70

1

45

117

51

μ

49.0

0.2

44.9

117.1

53.4

σ

25.8

0.5

12.1

17.0

14.4

z

0.8149

1.6548

0.0076

-0.0073

-0.1679

(f) Yeast transcription – Stress Response

n

42

2

32

46

21

μ

36.1

0.3

40.5

52.7

24.0

σ

14.2

0.7

9.3

11.7

6.3

z

0.4123

2.4005

-0.9102

-0.5698

-0.4761

(g) Escherichia coli transcription

n

40

0

2

45

17

μ

24.1

0.4

4.7

29.0

17.5

σ

12.3

0.7

2.8

9.7

5.5

z

1.2928

-0.6379

-0.9663

1.6463

-0.1001

(h) Hippocampal CA1 neuronal signalling pathway

n

266

37

5

240

92

μ

219.3

21.7

4.6

181.1

103.7

σ

54.9

6.2

2.1

35.5

14.7

z

0.8499

2.4664

0.1994

1.6590

0.7992

  1. Frequencies of FFL, 3-CYC, SIM, MIM, and Bifan in (a-f) various transcription networks of Saccharomyces cerevisiae, (g) transcription network of Escherichia coli, and (h) signalling pathway of hippocampal CA1 neuron. The observed frequencies, n, of these patterns in each of the networks were compared with the corresponding mean frequency (μ) in 1000 random networks having same degree sequences. The standard deviation (σ), and z-score ( z = n − μ σ ) MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaWaaeWaaeaacqWG6bGEcqGH9aqpjuaGdaWcaaqaaiabd6gaUjabgkHiTiabeY7aTbqaaiabeo8aZbaaaOGaayjkaiaawMcaaaaa@3654@ show the statistical relevance of various patterns. Positive and negative values of z signify the extent of over- and under-representation respectively, of n from μ (in σ units).