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. 2012 Nov 5;13(Suppl 16):S13. doi: 10.1186/1471-2105-13-S16-S13

Table 1.

Interactome overconnectivity analysis of serum in ovarian cancer.

Object name Actual n R N Expected Ratio p-value z-score
Transcription factors

Nkx5-1 2 79 9 19603 0.036 55.14 5.668E-04 10.33

NFIC 4 79 104 19603 0.420 9.54 8.277E-04 5.56

USF2 7 79 183 19603 0.738 9.49 9.061E-06 7.34

Receptors

ITGB6 2 79 9 19603 0.036 55.14 5.668E-04 10.33

VLDLR 3 79 22 19603 0.089 33.84 9.180E-05 9.8

Glypican-1 2 79 16 19603 0.064 31.02 1.855E-03 7.64

Ligands

LAMA2 2 79 7 19603 0.028 70.9 3.324E-04 11.77

CCL17 2 79 11 19603 0.044 45.12 8.614E-04 9.31

Thrombospondin 2 2 79 15 19603 0.060 33.09 1.627E-03 7.91

Kinases

LRRK1 2 79 5 19603 0.020 99.26 1.591E-04 13.98

Proteases

CTRL 1 79 1 19603 0.004 248.1 4.030E-03 15.72

Mcpt8 1 79 1 19603 0.004 248.1 4.030E-03 15.72

CRIM2 1 79 2 19603 0.008 124.1 8.044E-03 11.07

Actual = number of network objects in the activated dataset(s) which interact with the chosen object listed in object name column; n= number of network objects in the activated dataset( i.e. proteomics list); R=number of network objects in the complete database or background list which interact with the chosen object; N= total number of gene-based objects in the complete database or background list; Expected= mean of hypergeometric distribution (n·R/N); Ratio= connectivity ratio (Actual/Expected); z-score= (Actual-Expected)/s.d.(Expected), where s.d. - standard deviation of hypergeometric distribution, p-value= probability to have the given or higher (lower for negative z-score) value of Actual by chance under null hypothesis of no over- or under-connectivity.