Additional file 13 of Systematic interrogation of mutation groupings reveals divergent downstream expression programs within key cancer genes
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Additional file 13: Figure S12. Comparing cancer gene mutation landscape characteristics across tumor contexts. The best subgroupings in each cohort for all genes with at least one classification task with an AUC of at least 0.7 in two of the cohorts considered in this study. Each pie chart in a panel represents a cohort in which subgrouping mutation classifiers were trained and tested for the gene in question, with pie charts scaled, sliced, and labelled according to the same schema as in Fig. 1. We include here these figures for TP53, PIK3CA, and NFE2L2 and for the remaining genes at our data portal under Figures/S12 - Subgrouping AUC Comparisons by Gene. The names of these figures have the format (gene)__sub-comparisons_Ridge.svg.
附加文件13:图S12。跨肿瘤背景对比癌症基因突变景观特征。针对本研究涉及的、至少在其中两个队列中存在一项AUC(曲线下面积)≥0.7的分类任务的所有基因,呈现其在各队列中的最优亚组划分方案。每个分面板中的饼图对应一个队列,该队列中已针对目标基因训练并测试了亚组突变分类器;所有饼图均按照与图1一致的规范进行缩放、切片及标注。本文此处展示了TP53、PIK3CA与NFE2L2的相关图表,其余基因的图表可在本研究数据门户的「Figures/S12 - 按基因划分的亚组AUC比较」板块获取。此类图表的命名格式为:(基因名)__sub-comparisons_Ridge.svg。



