normalizeD {DAPAR} | R Documentation |
Provides several methods to normalize data from a matrix. They are organized in four main families : Strong Rescaling, Median Centering, Mean Centering, Mean CenteringScaling. For the first family, two sub-categories are available : the sum by columns and the quantiles method. For the three other families, two categories are available : "overall" which means that the value for each protein (ie line in the expression data tab) is computed over all the samples ; "within conditions" which means that the value for each protein (ie line in the matrix) is computed condition by condition.
normalizeD(qData, labels, family, method)
qData |
A dataframe that contains quantitative data. |
labels |
A vector of strings containing the column "Label" of
the |
family |
One of the following : Global Alignment, Median Centering, Mean Centering, Mean Centering Scaling. |
method |
"Overall" or "within conditions". |
A matrix normalized
Florence Combes, Samuel Wieczorek
require(DAPARdata) data(Exp1_R25_pept) qData <- Biobase::exprs(Exp1_R25_pept[1:1000]) labels <- Biobase::pData(Exp1_R25_pept[1:1000])[,"Label"] normalizeD(qData, labels, "Median Centering", "within conditions")