Fig. 4
From: iMOKA: k-mer based software to analyze large collections of sequencing data
iMOKA identifies novel events that predict response to neoadjuvant chemotherapy in breast cancer. a The features output by all benchmarked approaches are evaluated for their capacity to classify response to chemotherapy. OOB scores are plotted as a function of the number of features output by each approach. b The k-mers abundance of four k-mers mapping respectively on the 5′UTR and in the last three introns. c Four k-mers overlap the gene TBC1D9 in different positions capturing a change in overall gene expression and an intron retention event. d Gene ontology of the genes overlapped by the k-mers found by iMOKA