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R语言 mosaics包 BinData-class()函数中文帮助文档(中英文对照)

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发表于 2012-2-26 01:07:22 | 显示全部楼层 |阅读模式
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:
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。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
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