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Table 4 The results of the six types of CMS for cancer networks and STNs

From: Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks

  FBL-FBL FFL-FFL bi-fan-bi-fan FBL-FFL FBL-bi-fan FFL-bi-fan size max deg BRC DC
Cancer networks
AML 0 0 17 0 0 0 22 7 0.310 0.116
Glioma 0 0 36 0 0 0 8 4 0.0443 0.393
Melanoma 0 0 0 0 0 0 4 2 0.0678 0.400
NSCLC 0 1 6 0 4 2 18 6 0.0309 0.150
PC 0 0 0 0 0 0 18 11 0.0137 0.111
RCC 0 0 0 0 0 0 6 5 0.0075 0.333
Median, α        13 5.5 0.0376 0.242
Signal transduction networks (STNs)
Erbb 0 10 1607 0 0 111 31 13 0.0106 0.123
FoxO 0 2 0 0 0 0 34 31 0.00074 0.064
Hippo 0 10 0 0 0 0 12 6 0.0765 0.167
Jak-Stat 0 0 3 0 0 0 16 6 0.0461 0.158
Mapk 0 0 6 0 0 0 72 13 0.0154 0.039
PI3k-Akt 0 0 0 0 0 0 39 15 0.00878 0.058
Rap1 0 0 0 0 0 0 26 15 0.0161 0.080
Ras 0 1 105 0 0 7 39 14 0.0107 0.082
TGF_Beta 0 0 0 0 0 0 5 3 0.0678 0.250
TNF 0 0 0 0 0 0 12 5 0.0379 0.167
TCS 0 0 3 0 0 0 11 8 0.0333 0.182
VEGF 0 1 0 0 0 0 19 8 0.0146 0.123
Wnt 0 24 0 0 0 0 24 9 0.0106 0.123
Median, β 32.5 13.5 0.00158 0.081
γ 2.50 2.46 0.419 0.335