Median-balanced quantile normalization

Description Usage Arguments Details Value Author(s) References See Also Examples

Plot rank invariance frequency and feature coverage of detected RI and NRI features

1	mbqnPlotRI(obj, verbose = FALSE, ...)

`obj`	list object of RI frequencies from `mbqnGetNRIfeatures()`.
`verbose`	logical indicating to run function quietly.
`...`	additional arguments (cex, cex.lab, cex.axis, cex.main) passed to the plot function.

Graphical output of the NRI/RI identification results from mbqnGetNRIfeatures(). For each detected NRI/RI feature, plot the feature index against the RI frequencies together with the RI frequency detection threshold and print the sample coverage.

Figure

Ariane Schad

Brombacher, E., Schad, A., Kreutz, C. (2020). Tail-Robust Quantile Normalization. BioRxiv.

mbqnGetNRIfeatures() for detection of NRI/RI features.

## Check data matrix for RI and NRI features
x <- mbqnSimuData("omics.dep")
RI <- mbqnGetNRIfeatures(x, low_thr = 0.5, verbose = FALSE)
mbqnPlotRI(RI)