dba.plotVenn(DiffBind)
dba.plotVenn()所属R语言包:DiffBind
Draw 2-way or 3-way Venn diagrams of overlaps
2路或3路维恩图绘制重叠
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Draws 2-way or 3-way Venn diagrams of overlaps
绘制重叠2路或3路维恩图
用法----------Usage----------
dba.plotVenn(DBA, mask, overlaps, label1, label2, label3, ...)
参数----------Arguments----------
参数:DBA
DBA object; if present, only the mask parameter will apply.
DBA的对象,如果存在的话,只有面具参数将适用。
参数:mask
mask or vector of peakset numbers indicating which peaksets to include in Venn diagram. Only 2 or 3 peaksets should be included. See dba.mask. Only one of mask or overlaps is used.
面罩或矢量peakset数字表明包括哪些peaksets以维恩图。只有2或3 peaksets,应包括在内。看到dba.mask。只有一个面具或重叠使用。
参数:overlaps
overlap record, as computed by dba.overlap(Report=DBA_OLAP_PEAKS). Only one of mask or overlaps is used.
重叠的记录,计算由dba.overlap(报告= DBA_OLAP_PEAKS)。只有一个面具或重叠使用。
参数:label1
label for first peakset in diagram
图中的第一peakset标签
参数:label2
label for second peakset in diagram
图中的第二peakset标签
参数:label3
label for third peakset in diagram
图中的第三peakset标签
参数:...
arguments passed on to vennDiagram{limma}
参数传递到vennDiagram {limma}
作者(S)----------Author(s)----------
Rory Stark
举例----------Examples----------
data(tamoxifen_peaks)
par(mfrow=c(2,2))
# 2-way Venn[2,方式维恩]
dba.plotVenn(tamoxifen,6:7)
dba.plotVenn(tamoxifen,tamoxifen$masks$ZR75)
# 3-way Venn (done two different ways)[3路维恩(做了两种不同的方式)]
dba.plotVenn(tamoxifen,tamoxifen$masks$MCF7)
olaps = dba.overlap(tamoxifen,tamoxifen$masks$MCF7)
dba.plotVenn(tamoxifen,overlaps=olaps,
label1="Rep 1",label2="Rep 2",label3="Rep 3",main="MCF7 Replicates")
#Venn of overlaps[维恩重叠]
Responsive=dba(tamoxifen,tamoxifen$masks$Responsive)
Responsive
Responsive = dba.peakset(Responsive,1:3,sampID="MCF7")
Responsive = dba.peakset(Responsive,4:5,sampID="T47D")
Responsive = dba.peakset(Responsive,6:7,sampID="ZR75")
dba.plotVenn(Responsive,Responsive$masks$Consensus)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
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