CBEA: Competitive balances for taxonomic enrichment analysis
Fig 6
Predictive performance of a naive random forest model trained on CBEA, ssGSEA, and GSVA generated scores, as well as the standard CLR approach on predicting patients with inflammatory bowel disease versus controls using genus level taxonomic profiles.
The data sets used span both 16S rRNA gene sequencing (Gevers et al. [57]) and whole-genome shotgun sequencing (Nielsen et al. [56]). CBEA performs better than GSVA and ssGSEA but not as well as CLR, with the exception of the whole genome sequencing data set.