Additional file 1: of Selecting precise reference normal tissue samples for cancer research using a deep learning approach

Table S1. Consensus sequence and gene rank correlation with case-control pairs using different methods. Differentially expressed genes were selected using adjusted p < 0.001 and absolute log fold change > 1. Consensus sequences are defined as overlapping differential expression sequences with same directionality in log fold change. Rank correlation is the Spearman’s rank correlation of differential expression (fold change) between the consensus sequences computed from multiple methods (see workflow) and case-control pairs. Unless otherwise stated all rank correlation have p values < 0.01. (XLSX 11 kb)

表S1：不同分析方法下的共有序列（consensus sequence）及与病例-对照配对样本的基因秩相关系数。本研究中差异表达基因的筛选阈值为校正后P值<0.001且绝对对数折叠变化（log fold change, LFC）>1。共有序列被定义为对数折叠变化方向一致的重叠差异表达序列。秩相关系数指通过多种方法（详见实验流程）计算得到的共有序列与病例-对照配对样本间的差异表达（折叠变化）的斯皮尔曼秩相关系数。除非另有说明，所有秩相关系数的P值均小于0.01。（XLSX格式，文件大小11 KB）