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：不同方法下的共有序列及其与病例对照样本对的基因秩相关性。本研究以校正后p值（adjusted p-value）<0.001且绝对对数倍数变化（log fold change, LFC）>1为筛选标准，选取差异表达基因（differentially expressed genes, DEGs）。共有序列定义为对数倍数变化方向一致的重叠差异表达序列。秩相关性指的是由多种方法（详见实验流程）计算得到的共有序列的差异表达（倍数变化），与病例对照样本对的差异表达（倍数变化）之间的斯皮尔曼秩相关系数（Spearman’s rank correlation）。除非另有说明，所有秩相关分析的p值均小于0.01。（XLSX格式，文件大小11 KB）