Additional file 3: of A comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levels

Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Functional annotation clustering conducted with DAVID of the top 5 % of homologs ranked by the number of commonly co-expressed genes. Sheet 2: Functional annotation clustering conducted with DAVID of the bottom 5 % of homologs ranked by the number of commonly co-expressed genes. Sheets 3 and 4: Same analysis as sheet 1 and 2 but using one-to-one homologous genes only. Sheets 5–8: Functional enrichment analysis using the GSEA method on the same gene lists as described for sheet 1–4. (XLS 756 kb)

针对共表达基因数量分别处于高、低水平的基因开展功能分析。
工作表1：采用DAVID工具，对按共表达基因数量排序后排名前5%的同源基因进行功能注释聚类分析。
工作表2：采用DAVID工具，对按共表达基因数量排序后排名后5%的同源基因进行功能注释聚类分析。
工作表3与工作表4：分析流程与工作表1、2一致，但仅采用一对一同源基因开展分析。
工作表5至8：针对工作表1至4中所述的相同基因列表，采用基因集富集分析（GSEA）方法开展功能富集分析。
（XLS格式，文件大小756 KB）