DOI: 10.18129/B9.bioc.FuseSOM    

This is the development version of FuseSOM; for the stable release version, see FuseSOM.

A Correlation Based Multiview Self Organizing Maps Clustering For IMC Datasets

Bioconductor version: Development (3.17)

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 uni.sydney.edu.au>

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biocViews CellBasedAssays, Clustering, SingleCell, Software
Version 1.1.0
In Bioconductor since BioC 3.16 (R-4.2) (< 6 months)
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
LinkingTo Rcpp
Suggests knitr, rmarkdown, SingleCellExperiment
BugReports https://github.com/ecool50/FuseSOM/issues
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Source Package FuseSOM_1.1.0.tar.gz
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