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However, differentiating direct regulatory relationships from indirect ones is important for biologists in experimental designs.
Microarray data have been a valuable resource for identifying transcriptional regulatory relationships among genes.
Furthermore, the ISH data-based networks were used to identify instructive transcriptional regulatory relationships.
The miRNA mRNA regulatory relationships identified by these methods can be both direct and indirect regulations.
Systems approaches uncovered transcriptional signatures, predicted cellular functions, and identified new regulators and regulatory relationships.
The test revealed regulatory relationships that correlate well with the experimentally derived data.
Here, we present how these studies shed new light on principles driving long-distance regulatory relationships.
Module-specific regulatory relationships are shown in yellow (Figure 8).
The regulatory relationships were partly validated by literature reviews.
We reconstructed regulatory modules to infer the underlying regulatory relationships.
Frequently occurring relationships are considered as vital regulatory relationships.
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