nortimecourseisall: Time-course Metabolomic Study with dataset with Internal...

In idrblab/NOREVA: R Package for Systematic Optimization of Metabolomic Data Processing

Time-course Metabolomic Study with dataset with Internal Standards (ISs).

Description

this function enables the performance assessment of metabolomic data processing for time-course dataset (with internal standards but without quality control sample) using four independent criteria, and can comprehensively scan thousands of processing workflows and rank all these workflows based on their performances (assessed from four different perspectives).

Usage

nortimecourseisall(fileName, IS)

Arguments

fileName

Allows the user to indicate the NAME of peak table resulted from PrepareInuputFiles() (default = null).

IS

Allows the user to indicate the column number(s) where the internal standard(s) locate (default = null) If there is only one internal standard (IS), the column number of this IS should be listed If there are multiple ISs, the column numbers of all ISs should be listed and separated using comma For example, the value of argument IS that is set to “2,6,8,n” indicates that the metabolites in the 3rd, 7th, 9th, and (n+1)th columns of your input peak table should be considered to be the IS metabolites.

Examples

library(NOREVA)
timec_is_data <- PrepareInuputFiles(dataformat = 1,
rawdata = "Timecourse_with_IS.csv")
nortimecourseisall(fileName = timec_is_data, IS = "2,6,9")

idrblab/NOREVA documentation built on April 17, 2025, 2:04 p.m.