MOESM6 of Investigating skewness to understand gene expression heterogeneity in large patient cohorts

Additional file 6 Supplemental File Table S3. RNA-Seq Cancer to Control Gene Enrichment Results. The ten most significant GOStats pathways for each subcategory comparing the RNA-Seq cancer cohorts to control. Results are separated by GOStat term function (Biological Process: BP, Cellular Component: CC, Molecular Function: MF, and KEGG), comparison group (“UP”, “DOWN”, “MIDDLE”), by cancer cohort. https://drive.google.com/open?id=0B57SQtVF1CxkUFBVQkxDcXJGWDg

附加文件6 补充文件 表S3：RNA测序（RNA-Seq）癌症队列与对照队列的基因富集分析结果。本表格针对癌症队列与对照队列的RNA测序对比分析，按各子类别呈现十大最显著的GOStats富集通路。分析结果依据GOStat术语功能分类，包括生物过程（Biological Process, BP）、细胞组分（Cellular Component, CC）、分子功能（Molecular Function, MF）及京都基因与基因组百科全书（KEGG），同时按比较分组（"上调（UP）"、"下调（DOWN）"、"中等表达（MIDDLE）"）以及癌症队列进行区分。数据访问链接：https://drive.google.com/open?id=0B57SQtVF1CxkUFBVQkxDcXJGWDg