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clustSIGNAL

ClustSIGNAL: a spatial clustering method

Bioconductor version: 3.23 · Package version: 1.4.0

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.

Installation

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

BiocManager::install("clustSIGNAL")

Details

MaintainerPratibha Panwar <pratibhapanwar.4@gmail.com>
AuthorPratibha Panwar [cre, aut, ctb] (ORCID: <https://orcid.org/0000-0002-7437-7084>), Boyi Guo [aut], Haowen Zhao [aut], Stephanie Hicks [aut], Shila Ghazanfar [aut, ctb] (ORCID: <https://orcid.org/0000-0001-7861-6997>)
LicenseGPL-2
URLhttps://sydneybiox.github.io/clustSIGNAL/
Bug Reportshttps://github.com/sydneybiox/clustSIGNAL/issues
Downloads rank160
Source branchRELEASE_3_23
biocViewsClustering, GeneExpression, SingleCell, Software, Spatial, Transcriptomics

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Dependencies

Depends: R (>= 4.4.0), SpatialExperiment

Imports: BiocParallel, BiocNeighbors, bluster (>= 1.16.0), scater, harmony, SingleCellExperiment, SummarizedExperiment, methods, Matrix, reshape2

Suggests: knitr, BiocStyle, testthat (>= 3.0.0), aricode, ggplot2, patchwork, dplyr, scattermore