开始作图
rm(list = ls()) setwd("F:/HJH/mzbj/cell/2021.4.12") library(RColorBrewer) library(ggrepel) #标签用 df <- read.csv("df.csv",row.names = 1) #导入数据，第一列作为行名 #确定是上调还是下调，用于给图中点上色 df$threshold = factor(ifelse(df$P_value < 0.05 & abs(df$fd) >= 0.25, ifelse(df$fd >= 0.25 ,'Up','Down'),'NoSignifi'),levels=c('Up','Down','NoSignifi')) df$gene <- row.names(df) #添加一列基因名，以便备注 ggplot(df,aes(x=fd,y= -log10(P_value),color=threshold))+ geom_point(data = df[df$P_value<0.05&abs(df$fd)>0.25,],size = 5)+ geom_point(data = df[df$P_value>0.05|abs(df$fd)<0.25,],size = 4)+ scale_color_manual(values=c("#4393C3","#00000033","#FC4E2A"))+#确定点的颜色 geom_text_repel( data = df[df$P_value<0.05&abs(df$fd)>1,], aes(label = gene), size = 4.5, color = "black", segment.color = "black", show.legend = FALSE )+#添加关注的点的基因名 ylab('-log10 (P_value)')+#修改y轴名称 xlab('log2 (FoldChange)')+#修改x轴名称 geom_vline(xintercept=c(-0.25,0.25),lty=3,col="black",lwd=0.5) +#添加横线|logFoldChange|>0.25 geom_hline(yintercept = -log10(0.05),lty=3,col="black",lwd=0.5) +#添加竖线padj<0.05 theme_classic( # 主题设置，这个是无线条主题 base_line_size = 1 # 坐标轴的粗细 )+ theme(axis.title.x = element_text(size = 15, color = "black", face = "bold"), axis.title.y = element_text(size = 15, color = "black", face = "bold", vjust = 1.9, hjust = 0.5, angle = 90), legend.title = element_blank(), legend.text = element_text(color="black", # 设置图例标签文字 size = 10, face = "bold"), axis.text.x = element_text(size = 13, # 修改X轴上字体大小， color = "black", # 颜色 face = "bold", # face取值：plain普通，bold加粗，italic斜体，bold.italic斜体加粗 vjust = 0.5, # 位置 hjust = 0.5, angle = 0), #角度 axis.text.y = element_text(size = 13, color = "black", face = "bold", vjust = 0.5, hjust = 0.5, angle = 0) )
出图
