NOREVA2020: R Package for Assessing Normalization for Metabolomic Data

This function handles (1) normalizing the multi-class metabolomic data with Internal Standards (ISs) using 48 methods/strategies, (2) evaluating the normalization performances from multiple perspectives, and (3) enabling the systematic comparison among all methods/strategies based on a comprehensive performance ranking.

1	normulticlassispart(fileNameI, IS, selectFile)

`fileNameI`	Matrix: row is samples, column is metabolites. The first column is the binary labels. Please find the detail information of the file format from those six sample files in the working directory (in github) “idrblab/METNOR/data”
`IS`	Input the Column of Internal Standards. For example, the replacement of IS to 2,6,9,n indicates that the metabolites in the 2st, 6th, 9th, and nth columns of in your input dataset Input-Dataset.csv should be considered as the ISs or quality control metabolites. If there is only one IS, the column number of this IS should be listed If there are multiple ISs, the column number of all ISs should be listed and separated by comma (,)
`selectFile`	Input the name of your prefered strategies. Sample data of this data type is in the working directory (in github) “idrblab/METNOR/data/selectdataS.rda”.