understanding of disease mechanisms and leads to an improved
diagnosis of lung cancer. Cao et al. designed two quantitative
methods to prioritize differentially regulated genes (DRGs) and
gene pairs or links (DRLs) for gastric carcinogenesis and generated
testable hypotheses on the roles of GATA6, ESRRG, and their
signaling pathways in gastric carcinogenesis [38].4 Conclusions
Coexpression analysis has become a very useful tool to mining the
cancer-related markers. With the accumulation of whole-genome
expression data, and the improvement of computational algo-
rithms, it is time to decipher the dysfunctional regulators and
their relevant signaling pathway through efficient differential net-
work analysis which will support the wet biological experiment and
even further promote the prevention, treatment, diagnosis, and
cure of cancer in the future. However, the above methods are all
data-driven and need to predefine a cutoff. As we know, there are
many validated networks such as protein-protein interaction net-
works, gene regulatory networks and so on, so it will be a good way
to solve the thresholding problem by integrating the existing net-
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164 Bao-Hong Liu