PomaNorm {POMA}R Documentation

Collection of Normalization Methods for Mass Spectrometry Data

Description

PomaNorm() offers different methods to normalize MS data. This function contains both centering and scaling functions to normalize the data.

Usage

PomaNorm(data, method = "log_pareto", round = 3)

Arguments

data

A MSnSet object. First pData column must be the subject group/type.

method

Normalization method. Options are: "none", "auto_scaling", "level_scaling", "log_scaling", "log_transformation", "vast_scaling" and "log_pareto".

round

Numeric. Number of decimal places (Default is 3).

Value

A MSnSet object with normalized data.

Author(s)

Pol Castellano-Escuder

References

van den Berg, R. A., Hoefsloot, H. C., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006). Centering, scaling, and transformations: improving the biological information content of metabolomics data. BMC genomics, 7(1), 142.

Examples

data("st000284")

PomaNorm(st000284, method = "log_pareto")

[Package POMA version 1.0.0 Index]