Substracts the median and divides the data by the median absolute deviation (MAD). Log2-scaled data should be used as input (on_raw = FALSE).
Usage
medianAbsDevNorm(se, ain = "log2", aout = "MAD", 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-scale data
Value
SummarizedExperiment containing the MAD normalized data as assay (on log2 scale)
Examples
data(tuberculosis_TMT_se)
tuberculosis_TMT_se <- medianAbsDevNorm(tuberculosis_TMT_se, ain = "log2",
aout = "MAD", on_raw = FALSE)