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Fig. 3 | BMC Microbiology

Fig. 3

From: Human liver microbiota modeling strategy at the early onset of fibrosis

Fig. 3

Discriminant analysis strategies of the liver microbiota 16S rRNA gene OTUs according to the fibrosis scores. Venn diagrams where A all the 16S rRNA gene taxa or B data after removing those extremely rare and with unbalanced distribution within the 3 groups of patients with liver fibrosis, were used as entry variables characterizing the 3 liver fibrosis scores (green = F0, purple = F1, blue = F2). C Heatmap of normalized OTU counts according to the 3 groups of patients with liver fibrosis scores and their geographical origin and D a corresponding subset of normalized OTU counts with groups of patients fixed. E LEfSe cladogram of taxonomic assignments from 16S rRNA gene sequence data of the two liver biopsy fibrosis groups (F0 and F1). The cladogram shows the taxonomic levels represented by rings with phyla at the innermost ring and genera at the outermost ring, and each circle is a member within that level. Taxa at each level are shaded according to the liver fibrosis group in which it is more abundant (P < 0.05; LDA score ≥ 2.0). LDA scores are shown on the right panel for each taxon. F sPLSDA classification performance on a CSS normalized microbial table count of the F0 versus F1/2 groups of patients. OTUs were labeled as “Cluster_i” with i from 1 to 411 (total number of variables in the normalized abundance matrix). Sample plot, each point corresponds to an individual and is colored according to its fibrosis score (green = F0, purple = F1/2). G Clustering Image Map (CIM) of the OTUs selected on each sPLS-DA component with groups of patients fixed. H ROC calculated on the predicted scores obtained from the sPLSDA model

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