显著性差异统计分析

Proteomic analysis of the rice (Oryza officinalis) provides clues on molecular tagging of proteins for brown planthopper resistance Xiaoyun Zhang, Fuyou Yin, Suqin Xiao, Chunmiao Jiang, Tengqiong Yu, Ling Chen, Xue Ke, Qiaofang Zhong, Zaiquan Cheng and Weijiao Li BMC Plant Biology 201919:30 Dynamic protein corona influences immune-modulating osteogenesis in magnetic nanoparticles (MNPs)-infiltrated bone regeneration scaffolds in vivo. Zhu Y, Jiang P, Luo B, Lan F, He J, Wu Y. Nanoscale. 2019.

Tandem mass tag-based quantitative proteomic analysis of lycorine treatment in highly pathogenic avian influenza H5N1 virus infection. Yang L, Zhang J H, Zhang X L, et al. PeerJ, 2019, 7: e7697. Quantitative Proteomics of Potato Leaves Infected with Phytophthora infestans Provides Insights into Coordinated and Altered Protein Expression during Early and Late Disease Stages CX, JG,YZ,DZ,QC et al.and YS Int. J. Mol. Sci. 2019, 20(1)

火山图（Volcano Plot）在组学分析中常用的一种图，它能非常直观的显示表达差异的基因或蛋白。在火山图中显示了两个重要的指标（Fold change/p-Value），检验分析出两组样本间显著差异表达的基因后，以log2（fold change）为横坐标，以显著性检验(常用的为T test) P值的负对数-log10（P-value）为纵坐标，利用一定的筛选条件（如大于1.5倍变化且P<0.05）,可以筛选出显著差异表达的基因，进行后续研究。

趋势聚类分析通过对不同时间或不同条件下，基因、蛋白及代谢物表达水平聚类分析，筛选具有显著性的表达趋势，推导生物体内基因调控顺序及调控对象等重要信息，从而在功能上对表达趋势进行生物意义的阐述，包含更丰富的信息量用于挖掘调控网络的机制分析。