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qmtools

This is thereleased version of qmtools; for the devel version, seeqmtools.

Quantitative Metabolomics Data Processing Tools

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DOI: 10.18129/B9.bioc.qmtools


Bioconductor version: Release (3.22)

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.

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

Maintainer: Jaehyun Joo <jaehyunjoo at outlook.com>

Citation (from within R, entercitation("qmtools")):

Installation

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

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

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

Documentation

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

browseVignettes("qmtools")
Quantitative metabolomics data processingHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDimensionReduction,MassSpectrometry,Metabolomics,Normalization,Preprocessing,Software
Version1.14.0
In Bioconductor sinceBioC 3.15 (R-4.2) (3.5 years)
LicenseGPL-3
DependsR (>= 4.2.0),SummarizedExperiment
Importsrlang,ggplot2,patchwork,heatmaply, methods,MsCoreUtils, stats,igraph,VIM,scales, grDevices, graphics,limma
System Requirements
URLhttps://github.com/HimesGroup/qmtools
Bug Reportshttps://github.com/HimesGroup/qmtools/issues
See More
SuggestsRtsne,missForest,vsn,pcaMethods,pls,MsFeatures,impute,imputeLCMD,nlme,testthat (>= 3.0.0),BiocStyle,knitr,rmarkdown
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packageqmtools_1.14.0.tar.gz
Windows Binary (x86_64) qmtools_1.14.0.zip (64-bit only)
macOS Binary (x86_64)qmtools_1.14.0.tgz
macOS Binary (arm64)qmtools_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/qmtools
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/qmtools
Bioc Package Browserhttps://code.bioconductor.org/browse/qmtools/
Package Short Urlhttps://bioconductor.org/packages/qmtools/
Package Downloads ReportDownload Stats

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