Table 4.
Key features of GWENA compared to similar tools such as WGCNA, CEMiTool and wTO
| Functionnalities | Details | GWENA | WGCNA | CEMiTool | wTO |
|---|---|---|---|---|---|
| Gene set enrichment | Gene ontology | yes | yes | no | no |
| Pathways (KEGG/Reactome) | yes | no | no | no | |
| Regulation actors (TRANSFAC/miRTarBase) | yes | no | no | no | |
| Protein databases (Human Protein Atlas/CORUM) | yes | no | no | no | |
| Custom GMT import | yes | no | yes | no | |
| Native network visualization | yes | no | noa | yes | |
| Phenotype association | yes | yes | yes | no | |
| Hub gene detection | yes | yesb | yesc | no | |
| Igraph compatibility for extended topology metrics calculation | yes | no | no | no | |
| Sub-module detections inside module & graph coloration accordingly | yes | no | no | no | |
| Modules differential co-expression | yes | yesd | no | noe |
As some differences remain under the same labels, details are provided about their content
aCEMiTool allows network visualization only if a protein-protein interaction network file is provided
bWGCNA only provides a single hub gene selection by module
cCEMiTool persistently provides the top 10 hub genes independently of the module size or connectivity
dWGCNA’s differential co-expression does not correct for multiple testing
ewTO have no differential co-expression method available but provides a consensus network method