ms_ITTR_fitting: ms_ITTR_fitting

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

Description

Function to perform time-response function fitting to generate fitting parameters for each entry/curve

Usage

ms_ITTR_fitting(
  data,
  nread = 10,
  fc = 0.3,
  calMTT = FALSE,
  nbaseline = 3,
  baselineMAD = NULL,
  nMAD = 2.5,
  writetofile = TRUE,
  keepfittedvalue = FALSE
)

Arguments

data	dataset to be fitted
nread	number of reading channels or sample treatements, default value 10
fc	short for fold change, indicate the response level the fitting function used to back-calculate the corresponding effective concentration
calMTT	whether to calculate the Mininal Time Threshold(MTT), this is useful when do follow-up analysis such as R2-AUC plot
baselineMAD	MAD of baseline variation, default value is 0; if not provided, it will be calculated based on the readings from the lowest few dose points, specified by an integer 'nbaseline“
nMAD	level of significance, default set at 2.5
writetofile	whether to keep a local file copy of the original data with fitting parameters, default set to TRUE
keepfittedvalue	whether to keep the fitted data at each time points with fitting parameters, default set to FALSE

Value

a dataframe

Examples

## Not run: 
ITTRdata_fitted <- ms_ITTR_fitting(ITTRdata_scaled)

## End(Not run)

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