Summary of miRNAs and their relationship to networks from gene expression and proteomic data.

1 Significant fold change with adjusted p value with FDR 0.1 as can be seen in S1 Table.2 Significant fold change with p value S2 Table.3 Significant fold change based on DeCyder software one-way ANOVA analysis of p value Summary of miRNAs and their relationship to networks from gene expression and proteomic data.1. 以错误发现率（False Discovery Rate, FDR）=0.1为校正阈值筛选得到的显著倍数变化结果，详细信息见附表S1。2. 存在显著倍数变化，相关p值详细信息详见附表S2。3. 基于DeCyder软件的单因素方差分析（one-way ANOVA）p值分析得到显著倍数变化结果。本研究对基因表达与蛋白质组学数据中的微小RNA（microRNA, miRNA）及其调控网络关联进行了汇总梳理。