MOESM6 of Global impact of somatic structural variation on the DNA methylome of human cancers

Additional file 6. Related to Fig. 3. By distance metric method: complete set of gene-level correlations between expression and nearby SSV event for each individual cancer type (using regression model with corrections for cancer type and CNA). Data for the 893 CGI DNA methylation probes showing both high cancer type-specific methylation and significant positive correlation between expression and SSV breakpoint for any one of the 20 cancer types surveyed (from Fig. 3d) are in a separate data tab.补充文件6：与图3相关。本文件采用距离度量方法，收录了每种独立癌症类型中，基因表达水平与其邻近体细胞结构变异（SSV）事件之间的基因层面相关性全集（采用校正了癌症类型与拷贝数变异（CNA）的回归模型）。其中，针对本次调研的20种癌症类型中的任意一种，同时具备癌症类型特异性高甲基化特征，且基因表达与SSV断裂点间存在显著正相关的893个CpG岛（CGI）DNA甲基化探针的相关数据（来自图3d），存储于单独的数据选项卡中。