Skip to main content
. Author manuscript; available in PMC: 2022 Nov 19.
Published in final edited form as: Mucosal Immunol. 2022 May 19;15(4):772–782. doi: 10.1038/s41385-022-00522-x

Figure 5. Combining the fecal and small intestinal microbiota signatures accurately predicts the γδ IEL hyperproliferative phenotype.

Figure 5.

Random Forest model with leave-one-out cross-validation was applied to use the 12 ASVs abundance in the intestine (a) and feces (c) to regress the intestinal γδ IEL cell number. b Random Forest model with leave-one-out cross-validation was applied to use the 12 ASVs abundance in the intestine (b) and feces (d) to classify intestinal segments with or without the γδ IEL hyperproliferative phenotype. Pearson correlation was used to compare the predicted and measured values for regression model. (AUC) area under the curve of ROC (Receiver Operating Characteristics) was used to assess the classification model.