Figure 3: Box plots of serum inosine, AFMK and PS(O-18:0/0:0), ROC curves based on the binary logistic regression model by the combination of three serum metabolites from the HG and LG BC dataset and the prediction plots according to the optimal cutoff value obtained from ROC curves.
From: Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer
(A) Box plots of the relative intensities of the three metabolites in HC, LG BC and HG BC. (B) The ROC curves of the discovery set (B, left) and validation set (B, right) were obtained from the established prediction model. (C) The optimal cutoff value was obtained (0.4669) and applied to evaluate the prediction capacity (89.7% for discovery set (C, left) and 84.6% for validation set (C, right)) of the current model, where 0 and 1 on the x axis represent LG BC and HG BC patients, respectively, and blue circle represent samples.
