scores2calls(cellHTS2)
scores2calls()所属R语言包：cellHTS2
Sigmoidal transformation of the score values stored in a cellHTS object obtaining the call values for each probe.
S型转变的得分值存储在cellHTS每个探针获得呼叫值的对象。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Apply a sigmoidal transformation with parameters z0 and lambda to the summarized scored values stored in a cellHTS object. The obtained results are called calls and are stored in slot assayData, overridding its current content.
应用S形变换参数Z0和lambda汇总得分值存储在一个cellHTS对象。得到的结果被称为调用和存储在插槽assayData，overridding其当前内容。
Currently this function is implemented only for single-color data.
目前此功能只为单一颜色的数据。
用法----------Usage----------
scores2calls(x, z0, lambda)
参数----------Arguments----------
参数：x
an object of class cellHTS containing replicate data that have already been scored and summarized (see details).
一个类的对象cellHTS包含复制数据，已经取得和总结（见详情）。
参数：z0
a numeric value giving the centre of the sigmoidal transformation. See details.
数值给人的S型转变的中心。查看详情。
参数：lambda
a numeric value (>0) that corresponds to the parameter lambda of the sigmoidal transformation. This value should be >0, but usually it makes more sense to use a value >=1. See details.
一个数字值（> 0）对应参数lambdaS型转变。这个值应该是>0，但通常会更有意义使用一个值>=1。查看详情。
Details
详情----------Details----------
This function applies a sigmoidal transformation with parameters z0 and lambda to the single per-probe score values stored in a cellHTS object. The obtained results are called calls. The transformation is given by:
此功能适用于与S形变换参数Z0和lambda单每个探针得分cellHTS对象中存储的值。所取得的成果被称为检测。转型是由：
where z are the score values, z0 is the centre of the sigmoidal transformation, and the lambda is a parameter that controls the smoothness of the transformation. The higher is lambda, more steeper is the transition from lower to higher values. lambda should be > 0, but usually it makes more sense to use a value >=1.
其中z的得分值，z0S型转变的中心，和lambda是一个转型的平滑参数控制。较高的是lambda是从低到高值的过渡，更陡。 lambda应该是> 0，但通常会更有意义，使用一个值>=1。
This transformation maps the score values to the interval [0,1], and is intended to expand the scale of scores with intermediate values and shrink the ones showing extreme values, therefore making the difference between intermediate phenotypes larger.
这种转换映射的得分值区间[0,1]，旨在扩大规模与中间值的分数和收缩的极端值，因此作出更大的中间表型之间的差异。
值----------Value----------
The cellHTS object with the call values stored in slot assayData. This is an object of class assayData corresponding to a single matrix of dimensions Features x 1.
cellHTS对象存储在插槽assayData呼叫值。这是一个类assayData单一矩阵的尺寸Features x 1相应的对象。
作者（S）----------Author(s)----------
W. Huber <a href="mailto:huber@ebi.ac.uk">huber@ebi.ac.uk</a>, Ligia Braz <a href="mailto:ligia@ebi.ac.uk">ligia@ebi.ac.uk</a>
参考文献----------References----------
参见----------See Also----------
normalizePlates, summarizeChannels, scoreReplicates, summarizeReplicates, imageScreen.
normalizePlates，summarizeChannels，scoreReplicates，summarizeReplicates，imageScreen。
举例----------Examples----------
data(KcViabSmall)
x <- normalizePlates(KcViabSmall, scale="multiplicative", method="median", varianceAdjust="none")
x <- scoreReplicates(x, sign="-", method="zscore")
x <- summarizeReplicates(x, summary="min")
xc <- scores2calls(x, z0=1.5, lambda=2)
plot(Data(x), Data(xc), col="blue", xlab="z-scores", ylab="calls", main=expression(1/(1+e^{-lambda *(z-z[0])})))
if(require(splots)) {
sp = split(Data(xc), plate(xc))
plotScreen(sp, zrange=c(0,1), fill=c("white", "red"), na.fill="yellow",
main="Calls", ncol=3L)
}
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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发表于 2012-2-25 14:18:36
