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. 2013 Oct 1;7(5):143–152. doi: 10.1049/iet-syb.2012.0062

Table 3.

Top ranked 5 significant regulatory networks of lung and adipose identified by correlation‐based method in the real gene expression datasets

Tissue KEGG ID Descriptor Node Edge Light Dark
P ‐value FDR P ‐value FDR
lung rno05200 pathways in cancer 82 170 3.59 × 10–6 1.83 × 10–4 3.56 × 10–12 1.82 × 10–10
rno04630 Jak‐STAT signalling pathway 25 90 1.22 × 10–5 3.11 × 10–4 1.56 × 10–6 1.99 × 10–5
rno05152 tuberculosis 42 163 7.54 × 10–5 1.28 × 10–3 1.48 × 10–7 3.77 × 10–6
rno03320 PPAR signalling pathway 64 258 0.0014 0.0173 0.0001 0.0009
rno05222 small cell lung cancer 25 38 0.0033 0.0321 3.04 × 10–5 0.0003
adipose rno03320 PPAR signalling pathway 64 258 <1.0 × 10–16 <1.0 × 10–15 <1.0 × 10–15 <1.0 × 10–13
rno04630 Jak‐STAT signalling pathway 25 90 2.22 × 10–16 3.77 × 10–15 <1.0 × 10–15 <1.0 × 10–13
rno05200 pathways in cancer 82 170 2.22 × 10–16 3.77 × 10–15 <1.0 × 10–15 <1.0 × 10–13
rno05152 tuberculosis 42 163 2.92 × 10–12 3.73 × 10–11 8.44 × 10–15 1.08 × 10–13
rno05222 small cell lung cancer 25 38 2.56 × 10–5 1.87 × 10–4 4.93 × 10–8 5.02 × 10–7