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This test statistic was highly significant (p ≤ 0.001), which shows that the number of genes in the consensus modules was highly significant.
Notably, one of the human disease-related modules was highly preserved in the mouse model, and was enriched with genes involved in immune and inflammatory responses.
We found that the patterns of differential activation for each of the modules was highly consistent between training and validation sets, indicating that (i) our methodology for evaluating activity scores is robust, and (ii) that the identified modules may have biological significance.
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These modules are highly configurable and they form a 3-Level hierarchy.
In this year, the online modules were highly recommended and made available to the entire class.
The size distributions of the yeast and mouse modules are shown in Figure 4. We found that these modules were highly unlikely to occur simply by chance in randomly rewired networks with the same number of nodes and edges and same degree distribution (P-value <10−4).
The remaining three modules were highly correlated with the health states (Additional file 10).
It is clear that the human and chimp eigengene networks of consensus modules are highly preserved.
This represents that the modules are highly overlapped in samples but little in genes.
Functional enrichment analysis has revealed that those gene modules are highly related to lung cancer development.
Interestingly, 7 of these intersected modules were highly enriched with female-biased or male-biased genes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com