https://github.com/bioconductor-source/qmtools

https://github.com/bioconductor-source/qmtools

Science Score: 13.0%

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Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bioconductor-source
  • Language: R
  • Default Branch: devel
  • Size: 831 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

qmtools

Overview

The goal of qmtools is to provide basic tools for quantitative metabolomics data processing, including

  • Missing value imputation
  • Data normalization
  • Dimension reduction
  • Feature filtering
  • Feature clustering
  • Visualization

Installation

To install this package, start R (version "4.2") and enter:

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

The following initializes usage of Bioc devel

BiocManager::install(version='devel')

BiocManager::install("qmtools") ```

Or install via GitHub:

r remotes::install_github("HimesGroup/qmtools")

Owner

  • Name: (WIP DEV) Bioconductor Packages
  • Login: bioconductor-source
  • Kind: organization
  • Email: maintainer@bioconductor.org

Source code for packages accepted into Bioconductor

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Dependencies

DESCRIPTION cran
  • R >= 4.2.0 depends
  • SummarizedExperiment * depends
  • MsCoreUtils * imports
  • VIM * imports
  • ggplot2 * imports
  • grDevices * imports
  • graphics * imports
  • heatmaply * imports
  • igraph * imports
  • limma * imports
  • methods * imports
  • patchwork * imports
  • rlang * imports
  • scales * imports
  • stats * imports
  • BiocStyle * suggests
  • MsFeatures * suggests
  • Rtsne * suggests
  • impute * suggests
  • imputeLCMD * suggests
  • knitr * suggests
  • missForest * suggests
  • nlme * suggests
  • pcaMethods * suggests
  • pls * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
  • vsn * suggests