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富集分析柱状图大集合:通路展示在柱子上

富集分析柱状图大集合:通路展示在柱子上

作者: KS科研分享与服务 | 来源:发表于2023-02-22 09:01 被阅读0次

    富集通路常用的展示方式就是柱状图,之前我们已经做过很多种了,这里我们展示一种,将通路名称加在柱子上,这样展示的一个好处就是节约地方。

    图片
    setwd("D:/KS项目/公众号文章/富集柱状图文字添加到柱子上")
    library(ggplot2)
    df <- read.csv("enrich.csv", header = T)
    df$LogP <- -df$LogP
    
    df$labelx=rep(0,nrow(df))
    df$labely=seq(nrow(df),1)
    
    ggplot(data = df, 
           aes(LogP, reorder(Description,LogP))) +
      geom_bar(stat="identity",
               alpha=0.5,
               fill="#FE8D3C",
               width = 0.8) + 
      geom_text(aes(x=labelx,
                    y=labely,
                    label = Description),
                size=3.5, 
                hjust =0)+
      theme_classic()+
      theme(axis.text.y = element_blank(),
            axis.line.y = element_blank(),
            axis.title.y = element_blank(),
            axis.ticks.y = element_blank(),
            axis.line.x = element_line(colour = 'black', linewidth = 1),
            axis.text.x = element_text(colour = 'black', size = 10),
            axis.ticks.x = element_line(colour = 'black', linewidth = 1),
            axis.title.x = element_text(colour = 'black', size = 12))+
      xlab("-log10(qvalue)")+
      ggtitle("Enrichment")+
      scale_x_continuous(expand = c(0,0))
    

    往期精彩:

    复现Cell图表:双侧柱状图展示上下调GO富集结果

    图片
    
    ggplot(A,aes(reorder(Description, ratio),ratio,fill=group))+
      geom_col()+
      theme_bw()+
      theme(panel.grid.major=element_blank(),
            panel.grid.minor=element_blank(),
            panel.border = element_blank(),
            legend.title = element_blank(),
            axis.text = element_text(color="black",size=10),
            axis.line.x = element_line(color='black'),
            axis.ticks.y = element_blank(),
            axis.text.y = element_blank(),
            legend.position = 'none')+
      coord_flip()+
      geom_segment(aes(y=0, yend=0,x=0,xend=18.5))+
      geom_text(data = A[which(A$ratio>0),],aes(x=Description, y=-0.01, label=Description),
                hjust=1, size=4)+
      geom_text(data = A[which(A$ratio<0),],aes(x=Description, y=0.01, label=Description),
                hjust=0, size=4)+
      geom_text(data = A[which(A$ratio>0),],aes(label=Padj),
                hjust=-0.1, size=4, color='red')+
      geom_text(data = A[which(A$ratio<0),],aes(label=Padj),
                hjust=1.1, size=4, color="red")+
      scale_fill_manual(values = c("#1084A4",
                                   "#8D4873"))+
      scale_x_discrete(expand = expansion(mult = c(0,0)))+
      ylim(-0.5, 0.5)+
      labs(x='', y='Ratio')
    

    柱状图|GO、KEGG|标签与柱状图颜色对应

    图片
    
    ggplot(A,aes(Description, Count))+
      geom_bar(aes(fill=Cluster),stat = "identity")+
      geom_text(aes(label=Count, y=Count+5),size=3)+
      coord_flip()+
      labs(x='',y='Gene count', title = 'GO enrichment of cluster')+
      scale_fill_manual(values = c('#852f88',
                                   '#eb990c',
                                   '#0f8096'))+
      theme_bw()+
      theme(panel.grid = element_blank(),
            legend.position = 'none',
            axis.ticks.y = element_blank(),
            plot.title = element_text(hjust = 0.5, size = 10),
            axis.text.y = element_text(size=rel(0.85),colour =col),
            plot.margin=unit(x=c(top.mar=0.2,right.mar=0.2,
                                 bottom.mar=0.2,left.mar=0.2),
                             units="inches"))
    

    转录组不求人系列(十三): GO、KEGG富集个性化作图

    图片
    ggplot(A, aes(x = reorder(Description,Log.q.value.), Log.q.value.,fill=group)) + 
      geom_bar(stat = 'identity',alpha = 0.7) + 
      coord_flip() + 
      theme_bw() + #去除背景色
      theme(panel.grid =element_blank())+
      theme(panel.border = element_rect(size = 0.6))+
      labs(x = "",
           y="Log.q.value.")+
      scale_fill_manual(values = c("#008020","#08519C"))#设置颜色
    

    往期内容的示例数据和完整代码已经早早躺在群文件里面了,感兴趣的、还没有看过的学习起来。觉得分享有用的点个赞再走呗!

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