cvArray(AgiMicroRna)
cvArray()所属R语言包:AgiMicroRna
Coefficient of variation of replicated probes within array
复制探针阵列内变异系数
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Identifies replicated features at probe and at gene level and computes the coefficient of variation of the array
探针和基因水平的标识复制功能和计算数组的变异系数
用法----------Usage----------
cvArray(ddDUP, foreground = c("MeanSignal", "ProcessedSignal"),targets,verbose=FALSE)
参数----------Arguments----------
参数:ddDUP
uRNAList, containing the output from readMicroRnaAFE
uRNAList,包含从readMicroRnaAFE输出
参数:foreground
Specifies the signal used, only "MeanSignal" or "ProcessedSignal" can be used
指定使用的信号,只有“MeanSignal”或“”可用于ProcessedSignal
参数:targets
data.frame with the target structure
数据框与目标结构
参数:verbose
logical, if TRUE prints out output
逻辑,如果TRUE打印出输出
Details
详情----------Details----------
In the Agilent microRNA platforms the features are replicated at a probe level and normally, a single microRNA is interrogated by either two or four sets of replicated probes. The replication of the probes allows computing the coefficient of variation (CV) for each array as a measure of the reproducibility of the array. The CV is computed for every set of replicated probes and the CV median is reported as the array CV. A lower array CV indicates a better array reproducibility.
在Agilent microRNA的平台的功能将被复制在探针水平,通常是由两个或四个探针集复制的审问,一个单一的microRNA。探针复制允许每个数组作为衡量一个数组的重复性的变异系数(CV)的计算。 CV的计算每复制探针的简历中位数作为数组CV报道。一个较低的阵列的简历表示阵列重复性更好。
值----------Value----------
It prints out the results of the replication for the NON CONTROL FEATURES at a probe and gene level.
它打印出的探针和基因水平的非控制功能复制的结果。
作者(S)----------Author(s)----------
Pedro Lopez-Romero
举例----------Examples----------
## Not run: [#无法运行:]
data(dd.micro)
data(targets.micro)
cvArray(dd.micro,"MeanSignal",targets.micro,verbose=TRUE)
graphics.off()
## 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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