PomaNorm: Collection of Normalization Methods for Mass Spectrometry...

Description Usage Arguments Value Author(s) References Examples

View source: R/PomaNorm.R

Description

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

Usage

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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

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data("st000284")

PomaNorm(st000284, method = "log_pareto")

pcastellanoescuder/POMA documentation built on May 14, 2021, 11:07 p.m.