Figure 2.
Functional- and species-level taxonomic analysis. (A-B) Comparisons of alpha diversity using the Shannon index, and beta diversity using the Bray-Curtis index between the data for 16S rRNA (n = 158) and WGS sequencing (n = 106). (C) LEfSe analysis of species-level taxonomic biomarkers for DLBCL. (D) Findings of the community functional analysis in patients with DLBCL. The top 10 features with the highest linear discriminant analysis scores in each group are shown. (E-F) Machine learning analysis to examine the applicability of microbiome data to the species-level taxonomic profile and the gene-level functional profile in patients with DLBCL and in healthy controls. AMP, antimicrobial peptide; HC, healthy controls.

Functional- and species-level taxonomic analysis. (A-B) Comparisons of alpha diversity using the Shannon index, and beta diversity using the Bray-Curtis index between the data for 16S rRNA (n = 158) and WGS sequencing (n = 106). (C) LEfSe analysis of species-level taxonomic biomarkers for DLBCL. (D) Findings of the community functional analysis in patients with DLBCL. The top 10 features with the highest linear discriminant analysis scores in each group are shown. (E-F) Machine learning analysis to examine the applicability of microbiome data to the species-level taxonomic profile and the gene-level functional profile in patients with DLBCL and in healthy controls. AMP, antimicrobial peptide; HC, healthy controls.

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