Fig. 5From: Profiling non-coding RNA levels with clinical classifiers in pediatric Crohn’s diseasePredicting ability of ncRNA for disease status, disease behaviors and inflammation location. Using n = 13,777 ncRNAs with at least base mean > 10, we tested to predict the disease status, disease behavior and disease location or inflammation in CD. The average Accuracy and AUC of all 5 cross-validations is denoted on the figure(s). a Predicting ability of ncRNA for disease status, AUC and accuracy was calculated for CD b Predicting ability of ncRNA for disease behavior (B2 from B1), AUC and accuracy was calculated for B1, c Predicting ability of ncRNA for disease behavior (B3 from B1), AUC and accuracy was calculated for B2, d Predicting ability of ncRNA for disease behavior (B3 from B2), AUC and accuracy was calculated for B3, e Predicting ability of ncRNA for disease inflammation (inflamed vs. non-inflamed), AUC and accuracy was calculated for non-inflamed and f Predicting ability of ncRNA for disease inflammation (inflamed vs. non-inflamed + L2), AUC and accuracy was calculated for non-inflamed. A five-fold cross validation (CV) was performed across all the comparisonsBack to article page