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A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets

Bioconductor version: Release (3.19)

A correlation-based multiview self-organizing map for the characterization of cell types in highly multiplexed in situ imaging cytometry assays (`FuseSOM`) is a tool for unsupervised clustering. `FuseSOM` is robust and achieves high accuracy by combining a `Self Organizing Map` architecture and a `Multiview` integration of correlation based metrics. This allows FuseSOM to cluster highly multiplexed in situ imaging cytometry assays.

Author: Elijah Willie [aut, cre]

Maintainer: Elijah Willie <ewil3501 at>

Citation (from within R, enter citation("FuseSOM")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

FuseSOM package manual HTML R Script
Reference Manual PDF


biocViews CellBasedAssays, Clustering, SingleCell, Software, Spatial
Version 1.6.0
In Bioconductor since BioC 3.16 (R-4.2) (1.5 years)
License GPL-2
Depends R (>= 4.2.0)
Imports psych, FCPS, analogue, coop, pheatmap, ggplotify, fastcluster, fpc, ggplot2, stringr, ggpubr, proxy, cluster, diptest, methods, SummarizedExperiment, stats, S4Vectors
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Source Package FuseSOM_1.6.0.tar.gz
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macOS Binary (x86_64) FuseSOM_1.6.0.tgz
macOS Binary (arm64) FuseSOM_1.6.0.tgz
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