HimesGroup/qmtools: Quantitative Metabolomics Data Processing Tools

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.

Getting started

Package details

Bioconductor views DimensionReduction MassSpectrometry Metabolomics Normalization Preprocessing
URL https://github.com/HimesGroup/qmtools
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
HimesGroup/qmtools documentation built on April 16, 2023, 8 p.m.