We identified 577 differentially methylated regions or DMRs that distinguished, with 87% accuracy, malignant from non-malignant (benign and normal) samples.
A 16-gene signature was found that distinguished SNC and NS with an accuracy of 0.952.
Using 214 regions of interest, binary support vector machines distinguished term from preterm infants with 84% accuracy (p < 0.0001).
The classifier distinguished iCD and iUC from controls with 100%andd 94.6% accuracy, 100% and 100% specificity and 100%andd 86.7% sensitivity, respectively.
Quantitative SPECT imaging of DMN regions, at baseline or on concentration task, distinguished veterans with PTSD from those with TBI with an accuracy range of 87 94 %.
Multivariate classification algorithms distinguished breast cancer patients from the normal population with high accuracy (91.8% with random forest, 91.5% with support vector machine, 87.6% with linear discriminant analysis).
Among them, the CAPS marker of TaGW2-6A distinguished Hap-6A-A and Hap-6A-A with higher accuracy and repeatability, making it an effective marker for selection of kernel weight [ 43].
However, emerging evidence shows that gene expression-based prediction varies between independent data sets and little is known about the accuracy of gene expression-based prediction model with distinguished pathologic and clinical predictors [ 7, 8].
These eight metabolites distinguished HIV patients with vs. without HAND with greater than 85% predictive accuracy (Fig. 4b).
All of these studies found that hs-CRP distinguished HNF1A-MODY from type 2 diabetes with a high diagnostic accuracy, with the C-statistic ranging from 0.79 to 0.97 (2– 5).
