Computes per-module metrics for a WGCNA network: module size, proportion of features assigned, and module membership (kME). Unassigned module is excluded.
Arguments
- net
A WGCNA network object from
run_WGCNA().
Value
A data frame with columns: Module, Size,
Proportion, MeanKME, MeanKME2, MedianKME, SDKME,
MinKME, MaxKME.
Details
MeanKME and MeanKME2 are the mean and mean squared module
membership (kME = cor(feature, module eigengene)).
MeanKME2 = mean(kME^2) is the average proportion
of per-feature variance explained by the module eigengene.
Examples
data(example_net)
summarise_module_metrics(example_net)
#> Module Size Proportion MeanKME MeanKME2 MedianKME SDKME MinKME
#> 1 M1 52 0.52 0.6208447 0.4157510 0.6069187 0.1757754 0.2908221
#> 2 M2 16 0.16 0.6309279 0.4346083 0.6944016 0.1974188 0.3559238
#> MaxKME
#> 1 0.9580086
#> 2 0.8938520