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Fig. 2 | BMC Cancer

Fig. 2

From: Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNA-Seq datasets and machine learning

Fig. 2

AUC-ROC: The area under the ROC (receiver operating characteristic) curve for all datasets analyzed using different machine learning algorithms, namely K-nearest neighbors (KNN), Naïve Bayes (NB), neural network (NNET), and random forest (RF). Known biomarker (A: all transcripts, B: protein coding transcripts, and C: non-coding transcripts) and all data (D: all transcripts, E: protein coding transcripts, and F: non-coding transcripts). For all the calculations, transcript expression was used

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