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Binary discrimination of cancer and normal. Noncoding RNA biomarkers and deep learning neural network accurately discriminate 26 cancers from healthy objects. (A) Neural network model ROC curve of 13 accumulated biomarkers. In total, 13 biomarkers can discriminate cancers from normal with 0.934 of AUC. (B) In total, 51 accumulated biomarkers detected cancers with 0.963 AUC. (C) AUC vs. the number of accumulated biomarkers from 1 to 56.
