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Our results provide the first evidence for positively correlated miRNA-mRNA interaction networks based on expression correlation analyses that suggest an adaptive miRNA response secondary to the activation of gene expression in brains under ethanol insult.
We constructed a multi-layer coexpression network by organizing genes into TUs, modules and groups step by step based on expression correlation.
The nominal p-value based on expression correlation can likewise be estimated.
An adjacency matrix based on expression correlation was created using a soft threshold procedure to allow a scale free topology.
When one wants to categorize genes with similar behavior patterns across time (Fig. 5d), hierarchical clustering based on expression correlation can be performed.
In this study, based on expression correlation between lncRNAs and protein-coding genes across 19 human normal tissues, we used the hypergeometric test to functionally annotate a single lncRNA or a set of lncRNAs with significantly enriched functional terms among the protein-coding genes that are significantly co-expressed with the lncRNA(s).
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Thus, available evidence for a role for unliganded TRs in premetamorphosis is based on expression correlations, nonendogenous conditions, and results with NCoR that may not be due to direct interactions with TR.
However, this method was based on expression correlations under all available conditions rather than a subset of conditions, and the procedures for identification of miRNA and mRNA clusters were separated:; thus, it was limited to identification of miRNA-mRNA functional modules under the same specific conditions.
Based on expression correlations between lncRNAs and protein-coding genes across 19 human normal tissues, LncRNA2Function was developed by using hypergeometric tests to functionally annotate lncRNAs with significantly enriched functional terms among the protein-coding genes that are co-expressed with the lncRNAs across 19 human normal tissues (20).
Figure 3 shows sample unsupervised hierarchical clustering (Pearson's correlation) based on expression of all known and predicted miRNAs.
This approach will not infer spurious relationships between co-regulated genes, which is instead a well-known problem of algorithms based on expression similarity (e.g. correlation) [7].
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