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CorrectOverloadedPeaks
View on CRAN: Click
here
Download and install CorrectOverloadedPeaks package within the R console
Install from CRAN:
install.packages("CorrectOverloadedPeaks")
Install from Github:
library("remotes")
install_github("cran/CorrectOverloadedPeaks") Install by package version:
library("remotes")
install_version("CorrectOverloadedPeaks", "1.3.5") Attach the package and use:
library("CorrectOverloadedPeaks")
Maintained by
Jan Lisec
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-22
Latest Update: 2025-02-27
Description:
Analyzes and modifies metabolomics raw data (generated using GC-APCI-MS, Gas Chromatography-Atmospheric Pressure Chemical Ionization-Mass Spectrometry) to correct overloaded signals, i.e. ion intensities exceeding detector saturation leading to a cut-off peak. Data in xcmsRaw format are accepted as input and mzXML files can be processed alternatively. Overloaded signals are detected automatically and modified using an Gaussian or Isotopic-Ratio approach, QC plots are generated and corrected data are stored within the original xcmsRaw or mzXML respectively to allow further processing.
How to cite:
Jan Lisec (2016). CorrectOverloadedPeaks: Correct Overloaded Peaks from GC-APCI-MS Data. R package version 1.3.5, https://cran.r-project.org/web/packages/CorrectOverloadedPeaks. Accessed 05 Jun. 2026.
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Complete documentation for CorrectOverloadedPeaks
Functions, R codes and Examples using
the CorrectOverloadedPeaks R package
Some associated functions: CorrectOverloadedPeaks . FitGaussPeak . FitPeakByIsotopicRatio . ModelGaussPeak . mzXML_data . read.mzXML . write.mzXML .
Some associated R codes: CorrectOverloadedPeaks.R . FitGaussPeak.R . FitPeakByIsotopicRatio.R . GroupByGaps.R . ModelGaussPeak.R . is.FlatTopPeak.R . new.mzXML.R . read.mzXML.R . write.mzXML.R . Full CorrectOverloadedPeaks package functions and examples
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