metasnf: Meta Clustering with Similarity Network Fusion in R

TL;DR

metasnf is an R package that facilitates meta clustering using similarity network fusion for biomedical data, aiding in discovering meaningful clusters through visualization and validation tools.

Contribution

introduces an R package that streamlines meta clustering with SNF, including visualization and validation features for biomedical data analysis.

Findings

enables efficient exploration of multiple clustering solutions

assists in identifying context-specific optimal clusters

provides tools for visualization and validation of clusters

Abstract

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.