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

In idrblab/NOREVA2020: R Package for Assessing Normalization for Metabolomic Data

Description

This function handles (1) normalizing the Time-course metabolomic data with 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.

Usage

nortimecourseisall(fileNameT, IS)

Arguments

fileNameT

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 (,)

Examples

allranks_tis <- nortimecourseisall(fileNameT = timec_is_data, IS = "4,5")

idrblab/NOREVA2020 documentation built on Sept. 14, 2020, 12:04 a.m.