CenterForStatistics-UGent/compIntegrate: Compositional omics model based visual integration

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.

Getting started

Package details

Bioconductor views DimensionReduction Metabolomics Metagenomics Microbiome Visualization
Maintainer
LicenseGPL-2
Version1.13.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("CenterForStatistics-UGent/compIntegrate")
CenterForStatistics-UGent/compIntegrate documentation built on Aug. 4, 2023, 1:08 p.m.