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. 2018 May 22;14(8):920–929. doi: 10.7150/ijbs.24622

Table 3.

Network level discovery and functional investigation

Network type Construction method Discovery Ref.
lncRNA-miRNA co-expression network Spearman's correlation calculation for miRNA targeted lncRNA pairs. The dysregulated network for intra-hepatic cholangiocarcinoma (ICC) was associated with cholesterol homeostasis, insoluble fraction and lipid binding activity.etc. 62
MicroRNA-gene network MicroRNA and mRNA associated expression and microRNA target prediction The hsa-miR-96, hsa-miR-1 and hsa-miR-25 are identified as potential therapeutic targets for ICC treatment 63
Gene co-expression network The regulatory network was constructed by mapping the differentially co-expressed genes to known regulation data. Several important transcription factors such as, FOXC1, ZIC2, NKX2-2 and GCGR were identified for the future target design. 64
Epithelial-mesenchymal transition (EMT) network in CCA An extensive overview and summarization of the EMT regulatory network in CCA. EMT regulatory network from the membrane receptors to the EMT-inducing transcription factors such as, SNAIL, TWIST and ZEB. The plasticity of CCA caused by the redundancies and bypasses of regulating EMT is discussed for the therapeutic challenges. 65