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Compositional omics model based visual integration

Bioconductor version: Release (3.19)

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]

Maintainer: Stijn Hawinkel <stijn.hawinkel at>

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biocViews DimensionReduction, Metabolomics, Metagenomics, Microbiome, Software, Visualization
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 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
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