Human mouse cibersort免疫浸润分析

简介
调用cibersort R函数利用去卷积方法进行免疫浸润分析。参考文献：Newman AM, et al. Robust enumeration of cell subsets from tissue expression profiles. Nat Methods. 2015 May;12(5):453-7
输入数据
输入包括两个：第一个是表达矩阵，第一列必须是gene symbol。1，不能有负值或者缺失值；2，不用log，程序默认自动判断；3，芯片推荐RMA（affymetrix）或者limma（agilent等）标准化；4，测序推荐用fpkm或者tpm。芯片默认quantile标准化，测序不标准化。 第二个输入是分组信息：第一列是样品名，第二列是组名。
输出为：1，excel格式cibersort细胞类型占比；2，占比堆叠柱状图；3，热图；4，两组间的box图，用wilcoxon；多组间的用anova（最多10组）。* p<0.05，** p<0.01，*** p<0.001
论文例子
Identification of a novel gene signature for the prognosis of sepsis
论文写作
Immune cell infiltration analysis was usually used to study the pathogenesis of diseases. The CIBERSORT algorithm can calculate the proportion of various immune cells in samples. We used this algorithm to analyze the immune cells of healthy subjects and patients with sepsis in GSE69528, and used the box plots to visualize the immune cell composition of two groups of samples. We used Wilcoxon rank-sum test to assess the difference in the proportion of immune cells. The results of P < 0.05 were considered significant.

输入	示例数据
输出

1）如何作图？
1，准备作图数据；2，用excel打开数据，调整为示例格式；3，将调整后的数据粘贴到输入框；4，选择参数；5，提交出图
2）为什么不出图？
对输入数据格式有严格要求。请观看输入框上面的视频介绍，并仔细阅读右侧说明，示例数据。
3）如何引用？
3000+篇google学术，2400+篇知网学术引用
推荐直接写网址
Cite: Tang D, Chen M, Huang X, Zhang G, Zeng L, Zhang G, Wu S, Wang Y. SRplot: A free online platform for data visualization and graphing. PLoS One. 2023 Nov 9;18(11):e0294236. doi: 10.1371/journal.pone.0294236. PMID: 37943830.
Method: Heatmap was plotted by https://www.bioinformatics.com.cn (last accessed on 20 Feb 2024), an online platform for data analysis and visualization.
Acknowledgement: We thank Shanghai NewCore Biotechnology Co., Ltd. (https://www.bioinformatics.com.cn, last accessed on 20 Feb 2024) for providing data analysis and visualization support.
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