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qmtools

Quantitative Metabolomics Data Processing Tools

Bioconductor version: 3.23 · Package version: 1.16.0

The qmtools (quantitative metabolomics tools) package provides basic tools for processing quantitative metabolomics data with the standard SummarizedExperiment class. This includes functions for imputation, normalization, feature filtering, feature clustering, dimension-reduction, and visualization to help users prepare data for statistical analysis. This package also offers a convenient way to compute empirical Bayes statistics for which metabolic features are different between two sets of study samples. Several functions in this package could also be used in other types of omics data.

Installation

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

BiocManager::install("qmtools")

Details

MaintainerJaehyun Joo <jaehyunjoo@outlook.com>
AuthorJaehyun Joo [aut, cre], Blanca Himes [aut]
LicenseGPL-3
URLhttps://github.com/HimesGroup/qmtools
Bug Reportshttps://github.com/HimesGroup/qmtools/issues
Downloads rank247
Source branchRELEASE_3_23
biocViewsDimensionReduction, MassSpectrometry, Metabolomics, Normalization, Preprocessing, Software

Documentation

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Dependencies

Depends: R (>= 4.2.0), SummarizedExperiment

Imports: rlang, ggplot2, patchwork, heatmaply, methods, MsCoreUtils, stats, igraph, VIM, scales, grDevices, graphics, limma

Suggests: Rtsne, missForest, vsn, pcaMethods, pls, MsFeatures, impute, imputeLCMD, nlme, testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown