Fig. 1From: Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNA-Seq datasets and machine learningOverview of the workflow: Steps followed to find the least number of features (transcripts) required to identify the transcriptomics biomarkers. Various machine learning algorithms were used, namely random forest (RF), K-nearest neighbor (KNN), Naïve Bayes (NB), support vector machine (SVM), and neural networks (NNET)Back to article page