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Fig. 5 | Clinical Proteomics

Fig. 5

From: Development of a predictive model to distinguish prostate cancer from benign prostatic hyperplasia by integrating serum glycoproteomics and clinical variables

Fig. 5

ROC curves and confusion matrix for Random Forest analysis. The plots were drawn considering the following sets of variables: (i) proteomic + clinical (named “Multivariate Analysis”, blue), (ii) proteomic variables only (named “Peptides Analysis”, green), (iii) clinical variables only (named “Biological Samples”, red), (iv) PSA only (named “Univariate Analysis”, red)

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Clinical Proteomics

ISSN: 1559-0275