PomaNorm {POMA} | R Documentation |
PomaNorm() offers different methods to normalize MS data. This function contains both centering and scaling functions to normalize the data.
PomaNorm(data, method = "log_pareto", round = 3)
data |
A MSnSet object. First |
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). |
A MSnSet object with normalized data.
Pol Castellano-Escuder
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.
data("st000284") PomaNorm(st000284, method = "log_pareto")