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. 2020 Nov 11;6(46):eaba6784. doi: 10.1126/sciadv.aba6784

Fig. 1. Features that discriminate TSGs from OGs.

Fig. 1

(A) Feature groups selected for TSGs. (B) Feature groups selected for OGs. Feature groups are sorted according to the AUPRC reduction in elastic net fivefold cross-validation. Feature groups are named according to the representative features. Box plots showing the distribution of (C) H3K4me3 mean peak length, (D) VEST score, (E) missense damaging/benign ratio, (F) missense entropy, (G) pLI score, and (H) super enhancer percentage for the CGC-OG, CGC-TSG, and NG sets. Genes as both TSGs and OGs are excluded. P values for the differences between the TSGs/OGs and NGs were calculated by the one-sided “greater than” Wilcoxon rank-sum test.