ms_scaling: ms_scaling

In nkdailingyun/mineCETSA: Processing and Visualization of Proteome-wide MS-CETSA data

Description

Function to apply systematic scaling to CETSA melt curve dataset

Usage

ms_scaling(
  data,
  nread = 10,
  reordertemp = FALSE,
  writefactortofile = TRUE,
  bottomlabel = "Temperature",
  filename = "CETSA_normalization_factors.txt"
)

Arguments

data	dataset to be scaled
nread	number of reading channels or sample treatments
reordertemp	whether to check and re-arrange the treatment temperatures in ascending order, using the readings from lowest temperature group as the reference to derive ratios, default set to FALSE since we typically label the CETSA melt curve samples from low to high temperatures in the TMT10
writefactortofile	whether to save a copy of scaling factors
bottomlabel	textual label at the bottom of the plot
filename	name for the file

Value

a dataframe

Examples

## Not run: 
LY_scaled <- ms_scaling(LY_cleaned)

## End(Not run)

nkdailingyun/mineCETSA documentation built on Feb. 27, 2021, 8:26 p.m.