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clustSIGNAL

This is the development version of clustSIGNAL; to use it, please install the devel version of Bioconductor.

ClustSIGNAL: a spatial clustering method


Bioconductor version: Development (3.21)

clustSIGNAL: clustering of Spatially Informed Gene expression with Neighbourhood Adapted Learning. A tool for adaptively smoothing and clustering gene expression data. clustSIGNAL uses entropy to measure heterogeneity of cell neighbourhoods and performs a weighted, adaptive smoothing, where homogeneous neighbourhoods are smoothed more and heterogeneous neighbourhoods are smoothed less. This not only overcomes data sparsity but also incorporates spatial context into the gene expression data. The resulting smoothed gene expression data is used for clustering and could be used for other downstream analyses.

Author: Pratibha Panwar [cre, aut, ctb] ORCID iD ORCID: 0000-0002-7437-7084 , Boyi Guo [aut], Haowen Zhao [aut], Stephanie Hicks [aut], Shila Ghazanfar [aut, ctb] ORCID iD ORCID: 0000-0001-7861-6997

Maintainer: Pratibha Panwar <pratibhapanwar.4 at gmail.com>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("clustSIGNAL")

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

Documentation

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

browseVignettes("clustSIGNAL")
ClustSIGNAL tutorial HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, GeneExpression, SingleCell, Software, Spatial, Transcriptomics
Version 0.99.9
In Bioconductor since BioC 3.21 (R-4.5)
License GPL-2
Depends R (>= 4.4.0), SpatialExperiment
Imports BiocParallel, BiocNeighbors, bluster(>= 1.16.0), scater, harmony, SingleCellExperiment, SummarizedExperiment, methods, Matrix, reshape2
System Requirements
URL https://sydneybiox.github.io/clustSIGNAL/
Bug Reports https://github.com/sydneybiox/clustSIGNAL/issues
See More
Suggests knitr, BiocStyle, testthat (>= 3.0.0), aricode, ggplot2, patchwork, dplyr, scattermore
Linking To
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package clustSIGNAL_0.99.9.tar.gz
Windows Binary (x86_64) clustSIGNAL_0.99.9.zip (64-bit only)
macOS Binary (x86_64) clustSIGNAL_0.99.9.tgz
macOS Binary (arm64) clustSIGNAL_0.99.9.tgz
Source Repository git clone https://git.bioconductor.org/packages/clustSIGNAL
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/clustSIGNAL
Bioc Package Browser https://code.bioconductor.org/browse/clustSIGNAL/
Package Short Url https://bioconductor.org/packages/clustSIGNAL/
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