metasnf: Meta Clustering with Similarity Network Fusion in R
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Abstract (arXiv)
metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF is a multi-modal data integration algorithm commonly used for biomedical subtype discovery. The package also contains functions to assist with cluster visualization, characterization, and validation. This package can help researchers identify SNF-derived cluster solutions that are guided by context-specific utility over context-agnostic measures of quality.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 23 Oct 2024.
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