韦恩图

作者: 生信编程日常 | 来源:发表于2020-02-24 23:23 被阅读0次

    1.VennDiagram做韦恩图

    library(VennDiagram)
    venn_list <- list(geneset1, geneset2,geneset3,geneset4)
    names(venn_list) <- c('RNAseq_up','RNAseq_down','scRNAseq_up','scRNAseq_down')
    venn.diagram(venn_list, filename = 'venn.png', imagetype = 'png', margin = 0.2, 
        fill = c('red', 'blue','yellow','green'), alpha = 0.30, col = 'black', cex = 1, fontfamily = 'serif', cat.cex = 1, cat.fontfamily = 'serif')
    
    
    46891581143372_.pic_hd.jpg

    常用参数
    col :边框颜色
    lwd :边框线宽度
    fill :填充颜色
    alpha:透明度
    cex :标签字体大小
    cat.cex :字体大小
    margin:边际距离

    韦恩图不支持pdf格式,想导出pdf的话:

    venn<-venn.diagram(venn_list, margin = 0.2, filename = NULL,
        fill = c("#F8766D", "#00BFC4","#C77CFF","#7CAE00"), alpha = 0.50, col = 'black', cex = 1, fontfamily = 'serif', cat.cex = 1, cat.fontfamily = 'serif')
    pdf(file="venn_plot.pdf")
    grid.draw(venn)
    dev.off()
    

    2.UpSetR做韦恩图

    library(UpSetR)
    listInput <- list(one = c(1, 2, 3, 5, 7, 8, 11, 12, 13), two = c(1, 2, 4, 5, 
        10), three = c(1, 5, 6, 7, 8, 9, 10, 12, 13))
    upset(fromList(listInput), order.by = "freq", sets.bar.color = "grey")
    
    image.png

    3.venn做韦恩图

    venn(x, snames = "", counts, ilabels = FALSE, ellipse = FALSE,
    zcolor = "bw", opacity = 0.3, plotsize = 15, ilcs = 0.6, sncs = 0.85,
    borders = TRUE, box = TRUE, par = TRUE, ggplot = FALSE, ...)

    主要参数:
    x:输入的list
    snames :每个集合的名称
    ilabels :显示交集的标签
    ellipse:将形状改为椭圆
    zcolor:颜色
    opacity :不透明度
    cexil :字体大小
    cexsn :集合名称标签的字体大小

    install.packages("venn") #安装
    library(venn) #导入
    venn(listInput, zcolor = "style", cexil = 1, cexsn = 0.8) 
    # zcolor = "style设置默认的颜色风格, cexil = 1把交集区域数值标签字体改大到1,cexsn集合名称标签字体大小
    
    image.png

    设置ellipse = TRUE,将形状强制为椭圆。

    venn(listInput, ellipse = TRUE, zcolor = "style", cexil = 1, cexsn = 1)
    
    image.png

    欢迎关注~


    公众号二维码.jpg

    参考:

    https://github.com/hms-dbmi/UpSetR
    https://nachtzug.xyz/2019/01/19/venn-diagram-with-R-venn-package/

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