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请教QC-RLSC和QC-RFSC #4

@asepsiswu

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@asepsiswu

关于预测值,statTarget2/R/shiftCor_v2.R代码的是rfP <- predict(temp, y)yf <- stats::predict(loe, y)

我理解predict的数值(rfp或yf)就是校正后的数值

后面x[i, ] <- as.numeric(x[i, ])/rfP x[i, ] <- as.numeric(x[i, ])/yf 以及 loessDatT <- loessDatmp * 1000 代码的含义是什么。

比较了shift_QC_cor.csv与shift_QC_raw.csv的QC同一样本的feature值,差别极大,如何理解
测试代码如下:

datpath <- system.file('extdata',package = 'statTarget')
samPeno <- paste(datpath,'MTBLS79_sampleList.csv', sep='/')
samFile <- paste(datpath,'MTBLS79.csv', sep='/')
shiftCor(samPeno,samFile, Frule = 0.8, MLmethod = 'QCRLSC', QCspan = 0,imputeM = 'KNN',plot=TRUE)

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