nortimecoursenoall: Time-course Metabolomic Study with dataset without QCSs and...
In idrblab/NOREVA2020: R Package for Assessing Normalization for Metabolomic Data

This function handles (1) normalizing the Time-course metabolomic data without QCSs and ISs 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.

1	nortimecoursenoall(fileNameC, assum_a="Y", assum_b="Y", assum_c="Y")

`fileNameC`	Please find the detail information of the file format from those six sample files in the working directory (in github) “idrblab/METNOR/data”
`assum_a`	all proteins were assumed to be equally important.The authors will be asked to input a letter “Y” to indicate the corresponding assumption is held for the studied dataset and a letter “N” to denote the opposite.
`assum_b`	The level of protein abundance was assumed to be constant among all samples. The authors will be asked to input a letter “Y” to indicate the corresponding assumption is held for the studied dataset and a letter “N” to denote the opposite.
`assum_c`	The intensities of the vast majority of the proteins were assumed to be unchanged under the studied conditions. The authors will be asked to input a letter “Y” to indicate the corresponding assumption is held for the studied dataset and a letter “N” to denote the opposite.