a MutSpot analysis workflow. b, c For each analysis, MutSpot outputs three types of descriptive figures: a Manhattan plot, a feature importance plot of features evaluated by the background mutation model, and lollipop plots of the top hotspots. Figures produced by MutSpot from b a genome-wide analysis and c a CBS-specific analysis of 168 gastric cancer whole genomes. Hotspots with FDR <0.05 are labeled in magenta. d, e Comparison of the number of hotspots detected using MutSpot with the number of hotspots detected using other statistical approaches in d the genome-wide and e CBS-specific analyses.
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机译：Mutspot分析工作流程。 B，C对于每个分析，Mutspot输出三种类型的描述性图：曼哈顿图，由背景突变模型评估的特征的特征重要性曲线，以及顶部热点的棒棒糖曲线。来自B的Mutspot产生的图，B基因组宽分析和C A CBS特异性分析168个胃癌全基因组。具有FDR <0.05的热点在洋红色中标记。 D，使用Mutspot检测到使用Mutspots的热点数量的比较，其使用其他统计方法在G基因组范围内和E CBS特异性分析中检测到的热点。
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