BinData-class(mosaics)
BinData-class()所属R语言包:mosaics
Class "BinData"
类“BinData”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This class represents bin-level ChIP-seq data.
这个类表示斌级芯片SEQ数据。
类的对象----------Objects from the Class----------
Objects can be created by calls of the form new("BinData", ...).
创建对象可以通过检测的形式new("BinData", ...)。
插槽----------Slots----------
chrID: Object of class "character",
chrID:Object类的"character",
coord: Object of class "numeric",
coord:Object类的"numeric",
tagCount: Object of class "numeric",
tagCount:Object类的"numeric",
mappability: Object of class "numeric",
mappability:Object类的"numeric",
gcContent: Object of class "numeric",
gcContent:Object类的"numeric",
input: Object of class "numeric",
input:Object类的"numeric",
dataType: Object of class "character", indicating how reads were processed. Possible values are "unique" (only uniquely aligned reads were retained)
dataType:Object类的"character",说明如何读取进行了处理。可能的值是“独一无二”(只有唯一对准读取保留)
方法----------Methods----------
mosaicsFit signature(object = "BinData"):
mosaicsFitsignature(object = "BinData"):
plot signature(x = "BinData", y = "missing", plotType = NULL ): provide exploratory plots of mean ChIP tag counts. This method plots mean ChIP tag counts versus mappability score, GC content score, and input tag counts, with 95% confidence intervals, for plotType="M", plotType="GC", and plotType="input", respectively. plotType="M|input" and plotType="GC|input" provide plots of mean ChIP tag counts versus mappability and GC content score, respectively, conditional on input tag counts.
图signature(x = "BinData", y = "missing", plotType = NULL ):提供探索图的平均芯片标记计数。这种方法绘制意味着,与mappability得分GC含量的得分,并输入标记计数芯片标记计数,95%置信区间,plotType="M",plotType="GC",plotType="input",分别。 plotType="M|input"和plotType="GC|input"提供芯片与mappability和GC含量得分平均标记数,分别输入标记计数条件的图。
print signature(x = "BinData"):
打印signature(x = "BinData"):
show signature(object = "BinData"): provide brief summary of the object.
显示signature(object = "BinData"):提供简要的对象。
作者(S)----------Author(s)----------
Dongjun Chung, Pei Fen Kuan, Sunduz Keles
参考文献----------References----------
"A Statistical Framework for the Analysis of ChIP-Seq Data", Journal of the American Statistical Association, Vol. 106, pp. 891-903.
参见----------See Also----------
readBins, mosaicsFit.
readBins,mosaicsFit。
举例----------Examples----------
showClass("BinData")
## Not run: [#无法运行:]
library(mosaicsExample)
data(exampleBinData)
exampleBinData
print(exampleBinData)[1:10,]
plot(exampleBinData)
plot( exampleBinData, plotType="M" )
plot( exampleBinData, plotType="GC" )
plot( exampleBinData, plotType="input" )
plot( exampleBinData, plotType="M|input" )
plot( exampleBinData, plotType="GC|input" )
exampleFit <- mosaicsFit( exampleBinData, analysisType="TS" )
## End(Not run)[#结束(不运行)]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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