Fig. 1From: On the evaluation of the fidelity of supervised classifiers in the prediction of chimeric RNAsThe benchmark pipeline covering mutations along the genome and simulation of RNA-seq data with Flux Simulator, followed by a chRNA labeling step with CRAC tool. CRAC’s algorithm is based on the study of k−mer support and location profiles, being a valuable source of information to extract quantitative features for machine learning modelsBack to article page