Resolution:
## Figure 1.
Workflow of module identification. 1) Profile expression of both miRNAs and mRNAs in the same set of samples using
microarrays. 2) Calculate miRNA-mRNA correlation matrix based on the similarities
in the expressions across samples. 3) Estimate false detection rates for a series
of thresholds, and choose one based on the desired false detection rate to convert
the correlation matrix into a binary miRNA-mRNA correlation network. 4) Construct
a miRNA-mRNA regulatory network by combining the constructed miRNA-mRNA correlation
network and the corresponding miRNA-target matrix. 5) Represent the regulatory network
as a bipartite graph. 6) Enumerate all maximal bicliques as candidate regulatory modules,
and post-process candidate modules, including the assessment of both the statistical
significances, and differential expressions of target mRNAs between HCV+ and HCV-.
Peng |