Table 3

Enriched KEGG pathway-based sets.

pathway name

set size

candidates contained

p-value

q-value

pathway source


Small cell lung cancer

84

37

8.67E-009

1.43E-006

KEGG

Protein processing in endoplasmic reticulur

164

57

4.21E-008

3.47E-006

KEGG

Pathways in cancer

325

94

8.81E-008

4.05E-006

KEGG

Apoptosis

87

36

9.82E-008

4.05E-006

KEGG

Neurotrophin signaling pathway

125

46

1.24E-007

4.10E-006

KEGG

T cell receptor signaling pathway

108

41

2.25E-007

6.19E-006

KEGG

Focal adhesion

199

62

9.45E-007

2.23E-005

KEGG

Prostate cancer

89

33

6.11E-006

1.26E-004

KEGG

Pathogenic Escherichia coli infection

54

23

1.13E-005

2.07E-004

KEGG

Endometrial cancer

52

22

1.99E-005

3.28E-004

KEGG

Shigellosis

61

24

3.61E-005

5.42E-004

KEGG

Non-small cell lung cancer

54

22

4.03E-005

5.54E-004

KEGG

Proteasome

44

19

5.17E-005

6.56E-004

KEGG

Bacterial invasion of epithelial cells

70

26

5.59E-005

6.59E-004

KEGG

B cell receptor signaling pathway

75

27

7.62E-005

8.38E-004

KEGG

Leukocyte transendothelial migration

116

37

8.27E-005

8.53E-004

KEGG


Set size refers to the number of entities that have a Uniprot ID as stated in the corresponding KEGG pathway-based set at the ConsensusPathDB site. The number of candidates contained refers to amount of proteins which are part of the extended network and appear as part of the pathway. P-values are calculated according to a hypergeometric test; q-values represent p-values corrected for multiple testing using the false discovery rate method.

Higareda-Almaraz et al. BMC Systems Biology 2011 5:96   doi:10.1186/1752-0509-5-96

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