nortimecourseqcall: Time-course Metabolomic Study with dataset with QCSs.

In YingZhang0811/test11: R Package for Assessing Normalization for Metabolomic Data

Description

This function handles (1) normalizing the Time-course metabolomic data with QCSs using 168 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

nortimecourseqcall(fileNameS, impt = NULL, trsf = NULL)

Arguments

fileNameS	Please find the detail information of the file format from those six sample files in the working directory (in github) “idrblab/METNOR/data”
impt	Input the name of imputation methods. If set 1, method of column mean imputation. If set 2, method of column median imputation. If set 3, method of half of the minimum positive value. If set 4, method of KNN imputation.
trsf	Input the name of transformation methods. If set 1, method of cube root transformation. If set 2, method of log transformation. If set 3, none transformation method.

Examples

allranks_tqcs <- nortimecourseqcall(fileNameS = timec_qcs_data, impt = "1", trsf = "1")

YingZhang0811/test11 documentation built on Aug. 9, 2020, 12:32 a.m.