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Bioconductor 3.22 Released

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ASURAT

This is thereleased version of ASURAT; for the devel version, seeASURAT.

Functional annotation-driven unsupervised clustering for single-cell data

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DOI: 10.18129/B9.bioc.ASURAT


Bioconductor version: Release (3.22)

ASURAT is a software for single-cell data analysis. Using ASURAT, one can simultaneously perform unsupervised clustering and biological interpretation in terms of cell type, disease, biological process, and signaling pathway activity. Inputting a single-cell RNA-seq data and knowledge-based databases, such as Cell Ontology, Gene Ontology, KEGG, etc., ASURAT transforms gene expression tables into original multivariate tables, termed sign-by-sample matrices (SSMs).

Author: Keita Iida [aut, cre]ORCID iD ORCID: 0000-0002-1076-830X, Johannes Nicolaus Wibisana [ctb]

Maintainer: Keita Iida <kiida at protein.osaka-u.ac.jp>

Citation (from within R, entercitation("ASURAT")):

Installation

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

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

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("ASURAT")
ASURATHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClustering,GeneExpression,GeneSignaling,Sequencing,SingleCell,Software
Version1.14.0
In Bioconductor sinceBioC 3.15 (R-4.2) (3.5 years)
LicenseGPL-3 + fileLICENSE
DependsR (>= 4.0.0)
ImportsSingleCellExperiment,SummarizedExperiment,S4Vectors,Rcpp (>= 1.0.7),cluster, utils,plot3D,ComplexHeatmap,circlize, grid, grDevices, graphics
System Requirements
URL
See More
Suggestsggplot2,TENxPBMCData,dplyr,Rtsne,Seurat,AnnotationDbi,BiocGenerics,stringr,org.Hs.eg.db,knitr,rmarkdown,testthat (>= 3.0.0)
Linking ToRcpp
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 PackageASURAT_1.14.0.tar.gz
Windows Binary (x86_64) ASURAT_1.14.0.zip
macOS Binary (x86_64)ASURAT_1.14.0.tgz
macOS Binary (arm64)ASURAT_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ASURAT
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ASURAT
Bioc Package Browserhttps://code.bioconductor.org/browse/ASURAT/
Package Short Urlhttps://bioconductor.org/packages/ASURAT/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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