gramm4R

DOI: 10.18129/B9.bioc.gramm4R    

Generalized correlation analysis and model construction strategy for metabolome and microbiome

Bioconductor version: Release (3.13)

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>

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	1.5.0
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	gramm4R_1.5.0.zip
macOS 10.13 (High Sierra)	gramm4R_1.5.0.tgz
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/
Package Downloads Report	Download Stats