Movatterモバイル変換


[0]ホーム

URL:


Bioconductor 3.22 Released

Bioconductor home
Menu

clustSIGNAL

This is thereleased version of clustSIGNAL; for the devel version, seeclustSIGNAL.

ClustSIGNAL: a spatial clustering method

Platform availability badgeRanking badgeSupport activity badgeYears in BioConductor badgeBuild results badgeLast commit badgeDependency count badge

DOI: 10.18129/B9.bioc.clustSIGNAL


Bioconductor version: Release (3.22)

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, entercitation("clustSIGNAL")):

Installation

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

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

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

Documentation

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

browseVignettes("clustSIGNAL")
ClustSIGNAL tutorialHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClustering,GeneExpression,SingleCell,Software,Spatial,Transcriptomics
Version1.2.0
In Bioconductor sinceBioC 3.21 (R-4.5) (0.5 years)
LicenseGPL-2
DependsR (>= 4.4.0),SpatialExperiment
ImportsBiocParallel,BiocNeighbors,bluster(>= 1.16.0),scater,harmony,SingleCellExperiment,SummarizedExperiment, methods,Matrix,reshape2
System Requirements
URLhttps://sydneybiox.github.io/clustSIGNAL/
Bug Reportshttps://github.com/sydneybiox/clustSIGNAL/issues
See More
Suggestsknitr,BiocStyle,testthat (>= 3.0.0),aricode,ggplot2,patchwork,dplyr,scattermore
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageclustSIGNAL_1.2.0.tar.gz
Windows Binary (x86_64) clustSIGNAL_1.2.0.zip
macOS Binary (x86_64)clustSIGNAL_1.2.0.tgz
macOS Binary (arm64)clustSIGNAL_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/clustSIGNAL
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/clustSIGNAL
Bioc Package Browserhttps://code.bioconductor.org/browse/clustSIGNAL/
Package Short Urlhttps://bioconductor.org/packages/clustSIGNAL/
Package Downloads ReportDownload Stats

[8]ページ先頭

©2009-2025 Movatter.jp