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This module preservation test results in a statistic (referred to as preservation Z statistic or Zsummary statistic) for each module.
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We then performed a modules-preservation test using repeated random sampling and modules recalculation.
Second, for PrCa-associated modules, we further evaluated the module preservation in the testing dataset.
Therefore, we first constructed a co-expression network using day 2 samples and tested for module preservation between day 0 and day 2 using the modulePreservation method [ 26] implemented in WGCNA package that calculates Zsummary preservation scores.
The WGCNA package includes statistical tests to analyze module preservation across different datasets [ 76].
The R package WGCNA implements a suite of tools for network construction, module detection, module significance examination, module preservation computation, and hub gene query, among many others [ 29– 31].
Our module preservation analysis is based on a permutation test implemented in the modulePreservation R function [ 30].
Thus, the higher the value of the module preservation measure, the better preserved is the module structure (its connectivity pattern) between the two strains.
A functional enrichment analysis of brain module preservation reveals basic functional pathways preserved between the two tissues.
In particular, it cannot be used to make strong statements about the lack of module preservation since alternative module detection methods applied to the test data may lead to different results.
(A) Module preservation (z-summary, x axis) as assessed in the 4 test datasets.
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