mbqnPlotRI: Plot frequency of detected RI/NRI features

In arianeschad/MBQN: Mean/Median-balanced quantile normalization

Plot frequency of detected RI/NRI features

Description

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

Usage

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

Arguments

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.

Details

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.

Value

Figure

Author(s)

Ariane Schad

References

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

See Also

mbqnGetNRIfeatures() for detection of NRI/RI features.

Examples

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

arianeschad/MBQN documentation built on April 1, 2022, 7:08 a.m.