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Table 3 Enriched KEGG pathway-based sets.

From: Proteomic patterns of cervical cancer cell lines, a network perspective

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
  1. 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.