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          第一步 明确CSOmap所需的数据 先读readme，里面描述了输入数据的格式    label.txt：细胞标注表，格式如图    LR_pairs.txt：受体配体表，格式如图，用CSOmap自带的也行    TPM.txt：TPM标注化的表达矩阵，格式如图，第一行得用\t开头   第二步 导出CSOmap所需的数据123456789101112131415161718192021222324
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          第一步 构建 21.09.21.SingleR.R1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192
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          1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859library(Seurat) ##library(SingleR)library(ggplot2)library(reshape2)library(SeuratData)pbmc
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          第一步 加载程辑包12345# 0、加载程辑包library(Seurat)library(dplyr)library(patchwork)library(ggplot2)  第二步 配置路径1234567# 配置数据路径root_path = &quot;~/zlliu/R_data/21.07.15.IntegrateData&quot;# 配置结果保存路径output_path = &quo
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          第一步 构建 21.09.20.SingleR.R1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192
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          第一步 下载所需的参考数据集 确定目标：Human Multiple Cortical Areas SMART-seq 下载：Gene expression matrix 和 Table of cell metadata  123mkdir Human_Multiple_Cortical_Areas_SMART-seq &amp;&amp; cd Human_Multiple_Cortical_A
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          第一步 导入程辑包123456library(Matrix)library(Seurat)library(plyr)library(dplyr)library(patchwork)library(purrr)  第二步 配置数据路径工作路径1234567# 配置数据和mark基因表的路径root_path = &quot;~/zlliu/R_data/hBLA&quot;# 配置结果保存路径out
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          复旦高性能计算 (三) jupyter R内核 png设备问题的解决方法
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          第一步 安装 Cairo包 第二步 .Rprofile 文件添加以下内容  1options(bitmapType=&#x27;cairo&#x27;)   第三步 ~/.local/share/jupyter/kernels/ir/kernel.json  12345&#123;  &quot;argv&quot;: [&quot;/home/rqzhang/zlliu/dev/R/R_s/l
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          Seurat (一) 安装
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          安装BiocManager：install.packages(&quot;BiocManager&quot;, repos=&quot;http://mirrors.tuna.tsinghua.edu.cn/CRAN/&quot; ) 为BiocManager添加镜像：options(BioC_mirror=&quot;https://mirrors.tuna.tsinghua.edu.cn/b
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