DOI: 10.18129/B9.bioc.qmtools  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see qmtools.

Quantitative Metabolomics Data Processing Tools

Bioconductor version: 3.16

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. Several functions in this package could also be used in other types of omics data.

Author: Jaehyun Joo [aut, cre], Blanca Himes [aut]

Maintainer: Jaehyun Joo <jaehyunjoo at outlook.com>

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biocViews DimensionReduction, MassSpectrometry, Metabolomics, Normalization, Preprocessing, Software
Version 1.2.0
In Bioconductor since BioC 3.15 (R-4.2) (1 year)
License GPL-3
Depends R (>= 4.2.0), SummarizedExperiment
Imports rlang, ggplot2, patchwork, heatmaply, methods, MsCoreUtils, stats, igraph, VIM, scales, grDevices, graphics
Suggests limma, Rtsne, missForest, vsn, pcaMethods, pls, MsFeatures, impute, imputeLCMD, nlme, testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown
URL https://github.com/HimesGroup/qmtools
BugReports https://github.com/HimesGroup/qmtools/issues
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Source Package qmtools_1.2.0.tar.gz
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