combi
Compositional omics model based visual integration
Bioconductor version: 3.23 · Package version: 1.24.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("combi")Details
| Maintainer | Stijn Hawinkel <stijn.hawinkel@psb.ugent.be> |
| Author | Stijn Hawinkel [cre, aut] (ORCID: <https://orcid.org/0000-0002-4501-5180>) |
| License | GPL-2 |
| Bug Reports | https://github.com/CenterForStatistics-UGent/combi/issues |
| Downloads rank | 420 |
| Source branch | RELEASE_3_23 |
| biocViews | DimensionReduction, Metabolomics, Metagenomics, Microbiome, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | combi_1.24.0.tar.gz |
| Windows binary (x86_64) | combi_1.24.0.zip |
| macOS binary (arm64) | combi_1.24.0.tgz |
| macOS binary (x86_64) | combi_1.24.0.tgz |