Linear Regression Normalization on MA Transformed Data

Similar to Rlr, but data are MA transformed before normalization, (A = median sample, M = difference of that sample to A). Log2 data should be taken as input (on_raw = FALSE).

Usage

rlrMANorm(se, ain = "log2", aout = "RlrMA", on_raw = FALSE)

Arguments

se

SummarizedExperiment containing all necessary information of the proteomic dataset

ain

String which assay should be used as input

aout

String which assay should be used to save normalized data

on_raw

Boolean specifying whether normalization should be performed on raw or log2-scaled data

Value

SummarizedExperiment containing the RlrMA normalized data as assay (on log2 scale)

Examples

data(tuberculosis_TMT_se)
tuberculosis_TMT_se <- rlrMANorm(tuberculosis_TMT_se, ain = "log2",
                                  aout = "RlrMA", on_raw = FALSE)