normulticlassnopart: Multi-class (N>1) Metabolomic Study with dataset without QCSs...

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

Multi-class (N>1) Metabolomic Study with dataset without QCSs and ISs.

Description

this function enables performance assessment of metabolomic data processing for multi-class dataset (without quality control sample and without internal standard) using four criteria, and can scan the customized workflows selected by user and rank them based on performances.

Usage

normulticlassnopart(fileName, selectedMethods)

Arguments

fileName	Allows the user to indicate the NAME of peak table resulted from PrepareInuputFiles() (default = null).
selectedMethods	Allows the user to indicate the NAME of the file containing the customized workflows selected by user. The file should be in a .csv format, and the exemplar files are provided in the NOREVA R package and available for download at https://idrblab.org/noreva/NOREVA_exampledata.zip).

Examples

library(NOREVA)
multi_non_data <- PrepareInuputFiles(dataformat = 1,
rawdata = "Multiclass_without_QCSIS.csv")
normulticlassnopart(fileName = multi_non_data, selectedMethods = "selectedmethods.csv")

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