gramm4R

DOI: 10.18129/B9.bioc.gramm4R    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

Generalized correlation analysis and model construction strategy for metabolome and microbiome

Bioconductor version: Release (3.14)

Generalized Correlation Analysis for Metabolome and Microbiome (GRaMM), for inter-correlation pairs discovery among metabolome and microbiome.

Author: Mengci Li, Dandan Liang, Tianlu Chen and Wei Jia

Maintainer: Tianlu Chen <chentianlu at sjtu.edu.cn>

Citation (from within R, enter citation("gramm4R")):

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("gramm4R")

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

Documentation

PDF   Reference Manual

Details

biocViews GraphAndNetwork, Microbiome, Software
Version 1.8.0
In Bioconductor since BioC 3.10 (R-3.6) (2 years)
License GPL-2
Depends R (>= 3.6.0)
Imports basicTrendline, investr, minerva, psych, grDevices, graphics, stats, DelayedArray, SummarizedExperiment, DMwR, phyloseq
LinkingTo
Suggests knitr, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/gramm4R
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/gramm4R
Package Short Url https://bioconductor.org/packages/gramm4R/
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