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Two large clusters of mRNA expressions are negatively associated with groups of microRNA expressions (modules 81 and 82).
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Since we have identified the potential MR of the hub genes in the WGCNA co-expression modules, we hypothesize that these MRs may modulate the expression patterns of other genes in these modules.
Chen, C. et al. Two gene co-expression modules differentiate psychotics and controls.
The former ones are composed of single gene expression modules.
A critical step in the analysis of large genome-wide gene expression datasets is the use of module detection methods to group genes into co-expression modules.
We give an overview of freely available methods that can be used to interpret co-expression modules in Supplementary Tables 2–5.
This unsupervised and unbiased analysis identified 14 and 12 distinct co-expression modules in 18R and B73, respectively (Fig. 2d, Supplementary Fig. S2a, and Supplementary Table S4).
Finally, a third major application of co-expression modules is in the inference of gene regulatory networks, where modules can be used to improve the network by combining information from several genes33 but can also improve the ease of interpretation.
Apart from allowing a more global and objective interpretation of gene expression data4,5, co-expression modules are also frequently used to infer regulatory relationships between transcription factors and putative target genes6,7,8.
Both genes were fused with TEF1 promoter and PHO5 terminator to obtain two expression modules.
Such coherent expression modules should be efficiently extracted by EEM.
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