Median Absolute Deviation Normalization — medianAbsDevNorm • PRONE

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)

See also

performSMADNormalization()

Examples

data(tuberculosis_TMT_se)
tuberculosis_TMT_se <- medianAbsDevNorm(tuberculosis_TMT_se, ain = "log2",
                                              aout = "MAD", on_raw = FALSE)