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. 2014 Feb 3;5:12. doi: 10.3389/fgene.2014.00012

Table 1.

Top ranking genes in EGFR PPI subnetwork by various centrality measures.

Gene cd cb ce c2s c3s crd crb cre c2rs c3rs
AKT1 1 1 1 1 1 1 1 1 1 1
EGF 2 3 2 2 2 2 3 2 2 2
EGFR 3 2 3 3 3 3 2 3 3 3
GRB2 4 5 4 4 4 4 5 5 5 4
MAPK1 5 4 5 5 5 5 4 4 4 5
RAC1 6 7 6 6 6 6 8 6 6 6
CDC42 7 6 7 7 7 7 6 8 7 7
MAPK3 8 10 8 8 8 8 10 7 8 8
STAT3 9 9 9 9 9 9 9 9
ERBB2 10 8 10 10 10 7 10 10
FOS 9 9
PTEN 10 10
cd 0.92 0.97 1 1 1 0.9 0.96 0.99 1
cb 0.87 0.92 0.92 0.92 0.99 0.85 0.93 0.92
ce 0.97 0.97 0.97 0.83 0.99 0.97 0.97
c2s 1 1 0.9 0.96 0.99 1
c3s 1 0.9 0.96 0.99 1
crd 0.9 0.96 0.99 1
crb 0.8 0.9 0.9
cre 0.97 0.96
cr2s 0.99

cd, degree centrality; cb, node betweenness; ce, eigenvector centrality; c2s, c3s, spectral gap centrality h = 2, 3. cr{d,b,e,s},c{2,3}rs, node ranking are obtained by consecutively removing the top ranked nodes. The bottom matrix is Spearman's rank correlation coefficients.