Sentence examples for modules we calculated from inspiring English sources

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).

To evaluate the richness of similar function genes in the modules we calculated their hypergeometric P-values by using the R package GOstats [ 27] in the context of all three types of GO terms: biological process (BP), cellular compartment (CC), and molecular function (MF).

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 each pair of co-modules we calculated the correlation c h between human gene scores in the first and in the second co-module, and the correlation c m between mouse gene scores in the first and in the second co-module.

For a CRM-miRNA module, we calculated the Pearson correlations between all gene pairs.