# (1)Seurat自带修饰主题,调整坐标轴字符倾斜角度 DotPlot(sce_final, features = marker) + RotatedAxis() # (2)ggplot2的theme函数,调整坐标轴字符倾斜角度 DotPlot(sce_final, features = marker) + theme(axis.text.x=element_text(angle=45, hjust = 1)) # (3)ggplot2的coord_flip函数,坐标轴翻转...
AI代码解释 library(ggplot2)p=DotPlot(pbmc,features=c("CD3E",'C1QA','GZMK'),group.by="cell.type_splitby_group")+RotatedAxis()p2=p+ggplot2::coord_flip()+theme(axis.text.x=element_text(angle=45,size=9))#,face='bold'p2 参考: 代码语言:javascript 代码运行次数:0 运行 AI代码...
Dotplot would be great to have a normalized gene expression per cluster but I can't make It work as in the example here This is the code : DotPlot(sample, features = c("Tcf7", "Cd3e"), cols = c("blue", "red"), dot.scale = 8, split.by = "orig.ident") + RotatedAxis()...
DotPlot(seuset, features = rev(markers.to.plot), cols = c("lightgrey", "red"), dot.scale = 1, split.by = "Sample") + RotatedAxis() However, I got the error message that “Error in FUN(X[[i]], …): Subscript is out of bounds” ...
consists of the seven (now three) members of the Board of Governors who have a vote at every meeting; the President of the New York Fed, who also has a vote at every meeting; and the governors of the remaining 11 Federal Reserve Banks, who rotate annually into and out of four voting...
p1<-DotPlot(Hu_AO_db_QC2,features = top3_markers$gene,group.by ='Major_celltype',cols = colors2)+RotatedAxis()p1(2)拆分一下 p2<-DotPlot(Hu_AO_db_QC2, features = split(top3_markers$gene, top3_markers$cluster),group.by ='Major_celltype', cols =c ("#67A59B", "#A5D38F...
使用RotatedAxis函数将x轴标签旋转 基于theme函数去调整坐标轴,设置文本颜色和大小、添加边框、调整间距等 DotPlot(pbmc, features = split(top5$gene, top5$cluster), cols = c("#ffffff","firebrick3") ) + RotatedAxis() + theme( strip.text.x = element_text(size = 8), ...
), # Rotate x-axis labels axis.text.y = element_text(size = text_size - 2), panel.grid = element_blank() ) # Conditionally hide or show the legend if (is.null(group_var)) { p <- p + guides(color = "none") # Hide the legend if group_var is NULL (no grouping)...
features<-c("LYZ","CCL5","IL32","PTPRCAP","FCGR3A","PF4")dp=DotPlot(pbmc,features=features)+RotatedAxis()dp View(dp) Seurat绘制的点图dp是一个包含10个对象的list,FlexDotPlot输入的就是这个list。 2.4 使用FlexDotPlot包绘制点图
(binaxis='y',stackdir='center',stackratio=1.5,dotsize=1.2)#Rotate the dot plotp+coord_flip()#chose the which items to displayp+scale_x_discrete(limit=c("0.5","2"))#dot plot with mean pointsp+stat_summary(fun.y=mean,geom="point",shape=8,size=3,color="red")#add basic box ...