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For every combination of target genes and observed module we calculated a p-value of enrichment using a right-tailed Fisher's exact test (corrected for multiple testing using the Holm Šídák procedure63) and the strength of this enrichment using the odds ratio.
In the industrial sector module, we calculated the specific indicators for the state.
For each module, we calculated GO enrichment using the BiNGO tool [17].
For each module we calculated the average value of each ecosystem property over all times sampled (temporal mean).
For a CRM-miRNA module, we calculated the Pearson correlations between all gene pairs.
To determine the effectiveness of each module, we calculated the percentage of random dataset sequences annotated by each module.
Similar(51)
Before computing recurrence scores for genes or modules, we calculated the similarity of all gene lists to derive groups of gene lists.
To estimate the significance of the resultant modules, we calculated P values based on the module scores (Z m).
For each of the 233 modules, we calculated the statistic T using coexpressions estimated with MMC, traditional Pearson and SVA corrected Pearson.
For the purpose of selecting the age-related miRNA synergistic modules, we calculated the proportion of age-related miRNAs in modules and tested the correlation between the expression levels of the modules and age.
To test the robustness of these 'significant' modules, we calculated the Spearman rank correlation coefficient of these significant modules across cross-validation runs and folds (Additional file 4: Figure S1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com