Figure 8 — Integrating machine learning and bioinformatics analysis to m6A regulator-mediated methylation modification models for predicting glioblastoma patients’ prognosis and immunotherapy response

Research Paper|Volume 15, Issue 10|pp. 4051–4070

Integrating machine learning and bioinformatics analysis to m6A regulator-mediated methylation modification models for predicting glioblastoma patients’ prognosis and immunotherapy response

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Figure 8.Analysis of molecular characteristics of m6Ascore high and low groups. (A, B) Distribution of gene mutations in samples of m6Ascore high and low groups; (C, D) The distribution of copy number amplification and deletion regions in the sample set of m6Ascore high and low groups.