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FuseSOM

A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets

Bioconductor version: 3.23 · Package version: 1.14.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("FuseSOM")

Details

MaintainerElijah Willie <ewil3501@uni.sydney.edu.au>
AuthorElijah Willie [aut, cre]
LicenseGPL-2
Bug Reportshttps://github.com/ecool50/FuseSOM/issues
Downloads rank253
Source branchRELEASE_3_23
biocViewsCellBasedAssays, Clustering, SingleCell, Software, Spatial

Documentation

Download

Dependencies

Depends: R (>= 4.2.0)

Imports: psych, FCPS, analogue, coop, pheatmap, ggplotify, fastcluster, fpc, ggplot2, stringr, ggpubr, proxy, cluster, diptest, methods, SummarizedExperiment, stats, S4Vectors

LinkingTo: Rcpp

Suggests: knitr, BiocStyle, rmarkdown, SingleCellExperiment