adjColorBias.quantile(lumi)
adjColorBias.quantile()所属R语言包:lumi
Color bias adjustment of Illumina Infinium methylaton microarrays using smooth quantile normalization
Illumina的Infinium methylaton芯片使用顺利位数标准化的颜色偏差调整
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Color bias adjustment of Illumina Infinium methylaton microarrays using smooth quantile normalization smoothQuantileNormalization
颜色Illumina的Infinium methylaton芯片使用的顺利位数标准化smoothQuantileNormalization偏置调整
用法----------Usage----------
adjColorBias.quantile(methyLumiM, refChannel = c("green", "red"), logMode = TRUE, ...)
参数----------Arguments----------
参数:methyLumiM
a MethyLumiM object or any eSet object with "methylated" and "unmethylated" data matrix element in the assayData slot
1 MethyLumiM对象或任何与“甲基化”和“甲基化”矩阵元素数据在assayData插槽ESET对象
参数:refChannel
the reference color channel for color bias adjustment
色彩偏差的调整参考颜色通道
参数:logMode
whether perform the adjustment in log scale or not
是否执行log规模的调整,或不
参数:...
other parameters used by smoothQuantileNormalization
smoothQuantileNormalization使用其他参数
Details
详情----------Details----------
Perform color bias adjustment of Illumina Infinium methylaton microarrays. It requires the input methyLumiM object includes the color channel information in the featureData. Basically, there should be a "COLOR_CHANNEL" column in the data.frame returned by pData(featureData(methyLumiM)).
执行Illumina的的Infinium methylaton芯片的颜色偏差的调整。它需要输入methyLumiM对象包括在featureData的的颜色通道信息。基本上,应该是一个“COLOR_CHANNEL”列由,PDATA(featureData(methyLumiM))返回的数据框。
The basic idea of color bias adjustment is to treat it as the normalization between two color channels. It uses smooth quantile normalization smoothQuantileNormalization to normalize two color channels.
的色彩偏差调整的基本思路是把它作为两色通道标准化。它采用光滑位数标准化smoothQuantileNormalization标准化两个颜色通道。
值----------Value----------
Return an object (same class as input methyLumiM) with updated "methylated" and "unmethylated" data matrix after color bias adjustment.
返回一个对象与更新“甲基化”和“甲基化”的色彩偏差的调整后的数据矩阵(输入methyLumiM同一类)。
作者(S)----------Author(s)----------
Pan DU
参见----------See Also----------
See Also lumiMethyC, smoothQuantileNormalization and adjColorBias.ssn
另见lumiMethyC,smoothQuantileNormalization和adjColorBias.ssn
举例----------Examples----------
data(example.lumiMethy)
# before adjustment[调整前]
plotColorBias1D(example.lumiMethy)
lumiMethy.adj = adjColorBias.quantile(example.lumiMethy)
# after adjustment[调整后]
plotColorBias1D(lumiMethy.adj)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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