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Table 4 Details of motifs in the lung cancer synergistic regulatory network

From: Functional analysis of microRNA and transcription factor synergistic regulatory network based on identifying regulatory motifs in non-small cell lung cancer

Motif Z-valuea/P-valueb Meanc Stdc No. of motifs No. of genes No. of TFs No. of miRNA
I 4.9847/ 0 27.0475 11.8268 86 28 3 12
II 6.9558/ 0 1417.3280 81.6113 1985 180 22 219
III 2.4034/ 0.0097 438.9193 30.8235 513 176 35 66
IV 4.2270/ 0.0001 771.7246 260.5343 1873 520 4 13
V 2.3031/ 0.0162 230.3356 87.9953 433 97 4 13
VI 19.9562/ 0 32689.19 290.5763 38488 422 163 250
VII 27.6201/ 0 114787.3 1225.9080 148647 928 26 243
VIII 2.9824/ 0.0004 19895.26 369.7436 20995 882 56 88
IX 8.3071/ 0 12070.81 267.1441 14290 237 27 242
X 1.2440/ 0.108 4284.108 155.8588 4478 414 56 88
  1. aZ-value was calculated using the formula (2.4.1).
  2. bP-value is the proportion of the 10000 random simulations in which a motif had a larger frequency in the random repeats than real in the data.
  3. cMean and Std are the average and the standard deviation of motif frequency of the 10000 random repeats.
  4. Motif I: Full regulation; II: TF-leading synergistic regulation; III: miRNA leading synergistic regulation; IV: miRNA feedback synergistic regulation; V: TF feedback synergistic regulation; VI: synergistic co-regulation; VII: miRNA simultaneous regulation; VIII: linear regulation from TF; IX: linear regulation from miRNA; and X: TF simultaneous regulation.