Fig. 1: Methyl-based predictive models’ performance and signatures analysis.
From: DNA methylation-based epigenetic signatures predict somatic genomic alterations in gliomas
A Summary of DNA methylation-based model performance for each binary genetic alteration and number of probes involved in each predictive signature. B Heatmaps of DNA methylation level (β value): samples are in columns and DNA methylation probes are in rows. The two top sidebars show the sample source and genetic alteration status. From left to right, each image shows the most significant probes in signatures of IDH (number of probes = 100), TERTp (number of probes = 200), ATRX (number of probes = 90), and chr1p19q codel (number of probes = 70). C In this Venn diagram, the predictive model probes of each binary genetic alteration (number of probes: IDH = 100, TERTp = 1000, ATRX = 500, chr1p19q codel = 100) and the G-CIMP probes (number of probes = 818) identified in the published paper33 were compared with each other. Different colors represent different probe sets. The overlapping blocks between any probe sets indicate the overlapping probes. The number within the diagram indicates the number of probes within a specific block.
