What this entity is
The canonical name is Mann-Whitney U test, a statistical method used in the report to test whether within-module cofitness was elevated relative to background cofitness. 1
Known alias: Wilcoxon rank-sum test. 1
No stable external identifier is specified in the source document. 1
Key facts from fitness_modules
The report identified 1,116 stable independent-component-analysis modules across 32 organisms, with each organism represented by at least 100 experiments. 1
The Mann-Whitney U test found significantly elevated within-module cofitness in 94.2% of the modules at p < 0.05. 1
Across the modules, within-module mean absolute correlation was 0.34 versus 0.12 in the background, corresponding to a 2.8x correlation enrichment. 1
These results support the interpretation that the ICA modules capture biologically coherent co-regulated groups, while the test evaluates enrichment of cofitness rather than assigning precise gene-level molecular functions. 1
Application in pseudomonas_carbon_ecology
The new report refines the method’s documented use by applying it to pathway-completeness distributions: 43 of 62 carbon pathways differed between the Pseudomonas s.s. and Pseudomonas_E groups after Benjamini-Hochberg false-discovery-rate correction at q < 0.05. 2 This extends the test from cofitness enrichment to nonparametric comparison of predicted metabolic capabilities, rather than contradicting its earlier use. 2
The cofitness-module findings extend cofitness-network-architecture, and the source summary is Pan-bacterial Fitness Modules via Independent Component Analysis. 1 The carbon-pathway application is summarized in Carbon Source Utilization Predicts Ecology and Lifestyle in Pseudomonas. 2
Related pages
- cofitness-network-architecture — cross-project synthesis of cofitness network structure.
- gene-essentiality — distinguishes process-level module context from gene-level function prediction.
- Pan-bacterial Fitness Modules via Independent Component Analysis — summary of the source report.
- Carbon Source Utilization Predicts Ecology and Lifestyle in Pseudomonas — application to carbon-pathway comparisons.