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qcrlscR: Quality Control–based Robust LOESS Signal Correction in R

Overview

This package implements quality control–based robust LOESS signal correction (QC-RLSC) for metabolomics data analysis.

Installation from github

devtools::install_github("wanchanglin/qcrlscR")

Installation from CRAN

(Coming soon)

install.packages("qcrlscR")

Authors

References

  • Dunn,W.B., Broadhurst,D., et al. (2011) Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nat. Protoc., 6, 1060-1083, 2011.
  • Broadhurst, D.I. (2024). QC:MXP Repeat Injection based Quality Control, Batch Correction, Exploration & Data Cleaning (version 1) Zendono. https://zenodo.org/doi/10.5281/zenodo.11101541. Retrieved from https://github.com/broadhurstdavid/QC-MXP.

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Install

install.packages('qcrlscR')

Monthly Downloads

183

Version

0.1.3

License

GPL (>= 2)

Issues

Pull Requests

Stars

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Maintainer

Wanchang Lin

Last Published

April 22nd, 2025

Functions in qcrlscR (0.1.3)

mv.perc

Missing value percentage
batch.shift

Batch shifting
qc.rlsc

QC based robust LOESS signal correction (QC-RLSC)
mv.filter

Filtering variable based on the percentage of missing values
outl.det.u

Univariate outlier detection
mv.filter.qc

Data filtering based on "qc" missing values
qc.rlsc.wrap

Wrapper function for QC-RLSC
man_qc

man_qc: test data for QC-RLSC
qcrlscR-package

qcrlscR: Quality Control–based Robust LOESS Signal Correction