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Table 2 Examples of potential miRNA regulatory rules (PCC = 0.2)

From: Finding microRNA regulatory modules in human genome using rule induction

Rule# miRNAs Target_genes Confidence Coverage
1 [hsa-miR-143, hsa-miR-181a] [NOVA1, ST8SIA4, ZFP36L1] 1.00 3
2 [hsa-miR-125b, hsa-miR-145] [DAG1, NEDD9, YES1, BMPR2, PTPRF] 0.86 5
3 [hsa-miR-126, hsa-miR-181b] [PCAF, NOVA1, EIF4A2] 0.75 3
4 [hsa-miR-155, hsa-miR-27b] [NOVA1, ZNF238, WEE1, ELL2, MAP3K14, PKIA, APC, ADD3] 0.86 8
5 [hsa-miR-27a, hsa-miR-143, [NOVA1, CDH5, ADD3] 1.00 3
6 [hsa-miR-101, hsa-miR-19a, hsa-miR-221] [ATXN1, CTCF, RAB1A] 1.00 3
7 [hsa-let-7e, hsa-miR-26a] [ARID3A, TAF5, HAS2, NOVA1, AKAP6, DYRK1A] 0.86 6
8 [hsa-miR-149, hsa-miR-29a] [BCL2L2, PLAG1, SP1, CBX1] 1.00 4
9 [hsa-miR-17-5p, hsa-miR-25] [CIC, EDG1, SSFA2, PCAF, SALL1] 0.92 5
10 [hsa-miR-134, hsa-miR-15a] [KPNA3, RUNX1T1, EPHA7] 0.75 3
12 [hsa-miR-15a, hsa-miR-216] [DYRK1A, MAPRE1, BCL9] 1.00 3
13 [hsa-miR-199b, hsa-miR-26a] [ZNF238, EPHA7, CDH2] 1.00 3
14 [hsa-let-7d, hsa-miR-125a] [PRDM2, DOCK3, DPF2] 0.85 3
15 [hsa-miR-155, hsa-miR-30d] [SOCS1, NOVA1, NR2F2, PAPOLA, ELL2] 0.96 5
16 [hsa-miR-182, hsa-miR-205] [DYRK1A, MMD, YES1, MAPK9, SMAD1] 1.00 5
17 [hsa-miR-222, hsa-miR-29a] [PLEKHC1, PTEN, INA] 0.87 3
18 [hsa-miR-182, hsa-miR-183] [YES1, SLC35A1, FGF9] 0.75 3
19 [hsa-miR-205, hsa-miR-30d] [MMD, CAPZA1, SMAD1] 0.90 3
20 [hsa-miR-142-3p, hsa-miR-200c] [MMD, PCAF, ANK3, ADAMTS3] 1.00 4
21 [hsa-miR-17-5p, hsa-miR-205] [DYRK1A, YES1, BAMBI, MKNK1] 0.8 4
22 [hsa-miR-106b, hsa-miR-146] [EGR3, RARB, MAP3K8] 1.00 3
23 [hsa-miR-103, hsa-miR-182] [BCL2L2, MAP7, SRPK1, SMAD7] 0.79 4
24 [hsa-miR-142-5p, hsa-miR-27a] [CACNB2, CLCN3, UBE4A, PPM1G] 1.00 4
25 [hsa-miR-101, hsa-miR-218, hsa-miR-22] [FBN2, TLK2, BCL9] 0.82 3
26 [hsa-miR-181c, hsa-miR-18] [ATP2B1, ATXN1, PLAG1, ESR1] 1.00 4
27 [hsa-miR-133a, hsa-miR-153] [RANBP2, GNAI3, POU4F1, CDC2L5] 1.00 4
28 [hsa-miR-137, hsa-miR-142-5p] [NR3C2, ATP1B1, CUL4A] 1.00 3
29 [hsa-miR-122a, hsa-miR-30e] [MAPRE1, MAP3K12, PAPOLA] 0.79 3
30 [hsa-miR-138, hsa-miR-183] [EPHA4, TRAM1, RCN2] 1.00 3
  1. miRNA regulatory modules were selected from the full list of 79 modules, to be shown as examples. The Pearson's correlation coefficient between any gene pairs (as well as any miRNA pairs) in the same module was 0.2 or more.