scRNA分析 |
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scRNA分析
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类似2021年CELL 文章Single-cell landscape of the ecosystem in early-relapse hepatocellular carcinoma，单细胞文献的Fig1一般会有细胞类型的全局umap图，分样本 和 分组的umap图 ，以及分样本 和 分组的细胞类型比例柱形图。  本推文介绍一下如何实现，涉及（1）颜色调整 ；（2）标签顺序设定 ；（3）pathwork组图拼图 。 一 调整umap图 读取scRNA分析|Marker gene 可视化 以及 细胞亚群注释--你是如何人工注释的？中注释后的RData文件 ，然后查看一下 代码语言：javascript复制library(Seurat) library(tidyverse) library(patchwork) #拼图 #读取数据 load("sce.anno.RData") head([email protected]) table([email protected]$celltype)1.1 设置颜色代码语言：javascript复制colour=c("#DC143C","#0000FF","#20B2AA","#FFA500","#9370DB","#98FB98","#F08080","#1E90FF","#7CFC00","#FFFF00", "#808000","#FF00FF","#FA8072","#7B68EE","#9400D3","#800080","#A0522D","#D2B48C","#D2691E","#87CEEB","#40E0D0","#5F9EA0", "#FF1493","#0000CD","#008B8B","#FFE4B5","#8A2BE2","#228B22","#E9967A","#4682B4","#32CD32","#F0E68C","#FFFFE0","#EE82EE", "#FF6347","#6A5ACD","#9932CC","#8B008B","#8B4513","#DEB887") t1 |
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