Package: FuseSOM
Title: A Correlation Based Multiview Self Organizing Maps Clustering
        For IMC Datasets
Version: 1.0.1
Authors@R: 
    person("Elijah", "Willie", , "ewil3501@uni.sydney.edu.au", role = c("aut", "cre"))
Description: 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.
License: GPL-2
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.2
Imports: psych, FCPS, analogue, coop, pheatmap, ggplotify, fastcluster,
        fpc, ggplot2, stringr, ggpubr, proxy, cluster, diptest,
        methods, SummarizedExperiment, stats, S4Vectors
LazyData: false
BuildResaveData: false
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, SingleCellExperiment
VignetteBuilder: knitr
BugReports: https://github.com/ecool50/FuseSOM/issues
LinkingTo: Rcpp
biocViews: SingleCell, CellBasedAssays, Clustering, Spatial
git_url: https://git.bioconductor.org/packages/FuseSOM
git_branch: RELEASE_3_16
git_last_commit: b3abd22
git_last_commit_date: 2022-11-22
Date/Publication: 2022-11-23
NeedsCompilation: yes
Packaged: 2022-11-24 11:48:41 UTC; biocbuild
Author: Elijah Willie [aut, cre]
Maintainer: Elijah Willie <ewil3501@uni.sydney.edu.au>
Built: R 4.2.1; aarch64-apple-darwin20; 2022-11-25 23:00:40 UTC; unix
