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Bioconductor - pmp

pmp

This is the released version of pmp; for the devel version, see pmp.

Peak Matrix Processing and signal batch correction for metabolomics datasets

Bioconductor version: Release (3.21)

Methods and tools for (pre-)processing of metabolomics datasets (i.e. peak matrices), including filtering, normalisation, missing value imputation, scaling, and signal drift and batch effect correction methods. Filtering methods are based on: the fraction of missing values (across samples or features); Relative Standard Deviation (RSD) calculated from the Quality Control (QC) samples; the blank samples. Normalisation methods include Probabilistic Quotient Normalisation (PQN) and normalisation to total signal intensity. A unified user interface for several commonly used missing value imputation algorithms is also provided. Supported methods are: k-nearest neighbours (knn), random forests (rf), Bayesian PCA missing value estimator (bpca), mean or median value of the given feature and a constant small value. The generalised logarithm (glog) transformation algorithm is available to stabilise the variance across low and high intensity mass spectral features. Finally, this package provides an implementation of the Quality Control-Robust Spline Correction (QCRSC) algorithm for signal drift and batch effect correction of mass spectrometry-based datasets.

Author: Andris Jankevics [aut], Gavin Rhys Lloyd [aut, cre], Ralf Johannes Maria Weber [aut]

Maintainer: Gavin Rhys Lloyd <g.r.lloyd at bham.ac.uk>

Citation (from within R, enter citation("pmp")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("pmp")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("pmp")

Peak Matrix Processing for metabolomics datasets HTML R Script Signal drift and batch effect correction and mass spectral quality assessment HTML R Script Signal drift and batch effect correction for mass spectrometry HTML R Script Reference Manual PDF NEWS Text Details biocViews BatchEffect, MassSpectrometry, Metabolomics, QualityControl, Software Version 1.20.0 In Bioconductor since BioC 3.11 (R-4.0) (5 years) License GPL-3 Depends R (>= 4.0) Imports stats, impute, pcaMethods, missForest, ggplot2, methods, SummarizedExperiment, S4Vectors, matrixStats, grDevices, reshape2, utils System Requirements URL See More Package Archives

Follow Installation instructions to use this package in your R session.

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