combi

This is the development version of combi; for the stable release version, see combi.

Compositional omics model based visual integration


Bioconductor version: Development (3.21)

This explorative ordination method combines quasi-likelihood estimation, compositional regression models and latent variable models for integrative visualization of several omics datasets. Both unconstrained and constrained integration are available. The results are shown as interpretable, compositional multiplots.

Author: Stijn Hawinkel [cre, aut] (ORCID: )

Maintainer: Stijn Hawinkel <stijn.hawinkel at psb.ugent.be>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("combi")

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

Documentation

Reference Manual PDF

Details

biocViews DimensionReduction, Metabolomics, Metagenomics, Microbiome, Software, Visualization
Version 1.19.0
In Bioconductor since BioC 3.11 (R-4.0) (4.5 years)
License GPL-2
Depends R (>= 4.0), DBI
Imports ggplot2, nleqslv, phyloseq, tensor, stats, limma, Matrix (>= 1.6.0), BB, reshape2, alabama, cobs, Biobase, vegan, grDevices, graphics, methods, SummarizedExperiment
System Requirements
URL
Bug Reports https://github.com/CenterForStatistics-UGent/combi/issues
See More
Suggests knitr, rmarkdown, testthat
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/combi
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/combi
Package Short Url https://bioconductor.org/packages/combi/
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