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. It supports comparing
many algorithms on the same footing, a data-nugget based
feature-weighting scheme as an alternative to variance
weighting, and a downstream suite for cluster characterisation,
visualisation and biological interpretation.
