MosaiClusteR: An Umbrella Framework for Multi-Source and Multi-Omics Clustering

An umbrella framework ("MoSaIC:" Multi-Omics Similarity Aggregation and Integrative Clustering in R) that unifies a large collection of multi-source / multi-omics clustering methodologies behind a single, consistent list-of-matrices interface. It spans five integration paradigms - direct, similarity-based, graph-based, voting-based consensus, and hierarchy-based - and bundles a complete downstream workflow for method comparison and evaluation. The package features the multi-source the ability to compare many algorithms on the same footing, a data-nugget based feature-weighting scheme as a robust, big-data-friendly alternative to variance weighting, and a downstream suite for cluster characterisation, visualisation and biological interpretation.

install.packages("MosaiClusteR")

Try the MosaiClusteR package in your browser