Fig. 1From: MicroRNA categorization using sequence motifs and k-mersWorkflow for model establishment. Data is transformed into a feature vector, and the best 100 features are selected. Initially, 10% data is withheld from the 100-fold MCCV training and testing scheme. All performance measures for testing and holdout data are collected during CV and reported at the end of the workflowBack to article page