dyebias.application.subset(dyebias)
dyebias.application.subset()所属R语言包:dyebias
Return a subset of reporters that can be dye bias-corrected
返回一个子集,记者偏压纠正可以是染料
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Convenience function returning a subset of reporters that can be expected to be corrected reasonably well. Often, the logical AND of this set and that of maW(data.norm) == 1.0 is used. The resulting subset is passed as the application.subset-argument to dyebias.apply.correction.
方便的函数返回一个子集,合理地予以纠正,可以预期的记者。通常的逻辑,这一套的maW(data.norm) == 1.0使用。产生的子集是通过application.subset参数dyebias.apply.correction。
用法----------Usage----------
min.SNR=1.5,
use.background=FALSE,
maxA=15)
参数----------Arguments----------
参数:data.raw
A marrayRaw object whose normalized data is to be dye bias-corrected.
一个marrayRaw对象,其规范化的数据是染料偏置校正。
参数:min.SNR
The minimum signal to noise ratio to require. It is loosely defined here as the foreground over the background signal. The background signal may not be real; see below.
最低的信号信噪比要求。它是松散的定义在背景信号的前景。背景信号未必真实;见下文。
参数:use.background
Logical indicating whether or not to use the background signals <br> maRb(data.raw) and maGb(data.raw). If the data.raw object does not have them, specify use.background=FALSE. This will use the smallest foreground of all reporters instead of the real backgrounds.
逻辑表明是否或不使用的背景信号参考maRb(data.raw)和maGb(data.raw)。如果data.raw对象没有他们,指定use.background=FALSE。这将使用所有记者中最小的前景,而不是真正的背景。
参数:maxA
The maximum signal that is still allowed.
仍允许的最大信号。
Details
详情----------Details----------
This routine requires an marrayRaw object since only that contains the background intensities. If you only have normalized data, use something like
这个程序需要marrayRaw对象,因为只有包含背景强度。如果你只有规范化的数据,使用类似
值----------Value----------
A matrix of logicals with the same dimensions as those of maRf{data.raw} is returned.
作为那些maRf{data.raw}的尺寸相同的逻辑值矩阵返回。
作者(S)----------Author(s)----------
Philip Lijnzaad <code>p.lijnzaad@umcutrecht.nl</code>
参考文献----------References----------
Kemmeren, P., van Hooff, S.R and Holstege, F.C.P. (2009) Adaptable gene-specific dye bias correction for two-channel DNA microarrays. Molecular Systems Biology, 5:266, 2009. doi: 10.1038/msb.2009.21.
参见----------See Also----------
dyebias.apply.correction
dyebias.apply.correction
举例----------Examples----------
## First load data and estimate the iGSDBs[#第一负荷数据和估计的iGSDBs]
## (see dyebias.estimate.iGSDBs)[#(见dyebias.estimate.iGSDBs)]
### choose the estimators and which spots to correct:[#选择的估计和景点,以纠正:]
estimator.subset <- dyebias.umcu.proper.estimators(maInfo(maGnames(data.norm)))
### choose which genes to dye bias correct. Typically, this is based[#选择哪些基因染色偏见正确。通常情况下,这是基于]
### both on flagged spots and intensity[#标记点和强度都]
application.subset <- maW(data.norm) == 1 &
dyebias.application.subset(data.raw=data.raw, use.background=TRUE)
summary(application.subset)
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。
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