squeezedVarOutlierMethod(beadarray)
squeezedVarOutlierMethod()所属R语言包:beadarray
Identifier outliers on an array section
数组段标识符离群
译者:生物统计家园网 机器人LoveR
描述----------Description----------
An outlier calling method that shrinks the observed variance for a bead-type towards the predicted variance based on all bead-types on the array-section.
一个离群通话的方法,缩小观察珠型向基于阵列节珠类型的预测方差方差。
用法----------Usage----------
squeezedVarOutlierMethod(inten, probeList, wts=1, n = 3, predictNlim=14)
参数----------Arguments----------
参数:inten
a list of intensities
一个强名单
参数:probeList
the IDs corresponding to each intensity value
每个亮度值对应的ID
参数:wts
Weights associated with beads, indicating those recommended for removal by, for example, BASH
珠与相关权重,表明这些建议去除,例如,“BASH
参数:n
number of SDs cutoff used
SDS截止号码使用
参数:predictNlim
how many beads of a bead-type must be present for that bead-type to contribute to prediction of variances?
许多珠子珠型,珠型有助于预测差异必须存在?
Details
详情----------Details----------
This function is called within the summarize routine of beadarray to exclude outlying beads from an array-section prior to summary. The intensities are not assumed to be on any particular scale and can result from any user-defined transformation function, however a log-transformation is recommended.
此功能被称为的beadarray常规summarize内从一个数组节简要之前排除外围的珠子。强度不认为是对任何特定的比例,并可能导致任何用户定义的转换函数,但是log改造建议。
Bead-types that have predictNlim numbers are used to locally regress bead-type precision against bead-type mean, as well as the squared residual error of bead-type precision against bead-type mean. These are then used as prior values for the distribution of precision to feed into a standard Bayesian calcuation to obtain an estimate of the posterior variance.
珠类型有predictNlim号码是用来对本地倒退珠式精密珠型的平均值,以及残差平方珠式精密对珠型平均。然后,使用前分布的精确喂成一个标准的贝叶斯计算中获得后方差估计值。
Beads with weight zero do not contribute to the outlier calling.
重量零珠不出力的离群通话。
值----------Value----------
the positions in the original vector that were determined to be outliers
在原来的向量被确定为是离群的位置
作者(S)----------Author(s)----------
Andy Lynch
参见----------See Also----------
illuminaOutlierMethod
illuminaOutlierMethod
举例----------Examples----------
if(require(beadarrayExampleData)){
data(exampleBLData)
oList = squeezedVarOutlierMethod(logGreenChannelTransform(exampleBLData, 1), getBeadData(exampleBLData, array=1, what="ProbeID"))
}
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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