gramm4R

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see gramm4R.

Generalized correlation analysis and model construction strategy for metabolome and microbiome


Bioconductor version: 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>

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

Installation

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


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

BiocManager::install("gramm4R")

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

Documentation

Reference Manual PDF

Details

biocViews GraphAndNetwork, Microbiome, Software
Version 1.5.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-2
Depends R (>= 3.6.0)
Imports basicTrendline, investr, minerva, psych, grDevices, graphics, stats, DelayedArray, SummarizedExperiment, DMwR, phyloseq
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Suggests knitr, rmarkdown
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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
Bioc Package Browser https://code.bioconductor.org/browse/gramm4R/
Package Short Url https://bioconductor.org/packages/gramm4R/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.13 Source Archive