NormalizeMets: assessing, selecting and implementing statistical methods for normalizing metabolomics data.

Alysha M De LiveraGavriel OlshanskyJulie A SimpsonDarren J Creek
Published in: Metabolomics : Official journal of the Metabolomic Society (2018)
NormalizeMets is designed for comparative evaluation of normalization methods, and can also be used to obtain end statistical results. The use of freely-available R software offers an attractive proposition for programming-oriented researchers, and the Excel interface offers a familiar alternative to most biological researchers. The package handles the data locally in the user's own computer allowing for reproducible code to be stored locally.