Skip to main content
Fig. 4 | BMC Bioinformatics

Fig. 4

From: Predicting the recurrence of noncoding regulatory mutations in cancer

Fig. 4

Number of mutations whose recurrence was revealed by sample addition. The top-voted mutations from the random forest trained with the significant recurrence model (100 kbp or 10 kbp as the background window) were compared to the same number of the most highly recurrent mutations based on the raw or significance model. a-b Recurrence recalculated in the window of (a) 10 bp and (b) 100 bp after the addition of new breast cancer samples. c-d Recurrence recalculated in the window of (c) 10 bp and (d) 100 bp after the addition of lung cancer samples

Back to article page