norm_med: Median normalisation
In lucyleeow/RPPA: Analyse RPPA Data From Zeptosens System

Description Usage Arguments Details Value

Perform median normalisation on a tidy dataframe of RFI data.

1	norm_med(tidydf, col_name = "RFI")

`tidydf`	Tidy dataframe of RFI values. There should be NO technical replicates.
`col_name`	Column name of the median normalised values as a string.

This method assumes that the amount of all proteins measured in the experiment reflect the total protein amount of one sample. Thus, the median AB of a sample estimates total protein amount or 'sample loading'.

The normalisation calculation is: divide all raw values by the median value of all AB signals of that sample is used to normalise the raw intensity values for each AB. This may be biased when the number of ABs is <100.

The same input dataframe but with a

lucyleeow/RPPA documentation built on May 5, 2019, 3:46 a.m.