The phrase "association of modules" is correct and usable in written English.
It can be used in contexts related to programming, software design, or organizational structures where different modules or components are grouped together for a specific purpose.
Example: "The association of modules in this software architecture allows for better scalability and maintainability."
Alternatives: "grouping of modules" or "collection of modules".
However, the association of modules with regions was complex, and individual modules showed enriched expression in distinct combinations of regions.
Combining gene expression with protein-protein interaction data greatly expanded the modules and in some cases enhanced the functional association of modules [ 9- 15].
Once this list is completed, the association of modules of functionally-related genes (defined here using GO terms) to high values of the rank (that is: high frequency of deletion; see Figure 3d) is tested.
Although many alternative coexpression network methods have been proposed [ 99], WGCNA offers several valuable opportunities including interpretation of module robustness, calculation of network properties, and the possibility of association of modules with external clinical traits.
We suggest using a gene-set enrichment analysis which tests the association of modules of functional related genes within pathways and thus increases the power to detect genes or variants with small effect size (40).
Subsequently, the association of module eigengenes and the measured physiological traits was determined as follows: for each module, the eigengene (ME) was tested for significant associations with the external traits.
When some genes are excluded from the set of selected genes (often differentially expressed genes) due to marginal expression changes or for other reasons, the module extension procedure adapted in SSIM can incorporate them and increase the functional interpretability of gene modules without sacrificing the statistical significance of functional association of gene modules.
However, the association of several modules with uninformative terms, such as "protein binding" demonstrates the challenges of this approach.
Although a similar approach has been used in other studies [ 12, 15], the effect of network extension on functional association of gene modules has not been evaluated carefully in those methods.
We describe a new computational method for the targeted discovery of functional modules of plant biomass-degrading protein families, based on their co-occurrence patterns across genomes and metagenome datasets, and the strength of association of these modules with the genomes of known degraders.
A low p-value between a gene module and a GO term would imply a strong association of the module with the specific biological function represented by the term.
