ASURAT

DOI: 10.18129/B9.bioc.ASURAT  

Functional annotation-driven unsupervised clustering for single-cell data

Bioconductor version: Release (3.16)

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] , Johannes Nicolaus Wibisana [ctb]

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

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("ASURAT")

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("ASURAT")

 

HTML	R Script	ASURAT
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Clustering, GeneExpression, GeneSignaling, Sequencing, SingleCell, Software
Version	1.2.0
In Bioconductor since	BioC 3.15 (R-4.2) (1 year)
License	GPL-3 + file LICENSE
Depends	R (>= 4.0.0)
Imports	SingleCellExperiment, SummarizedExperiment, S4Vectors, Rcpp (>= 1.0.7), cluster, utils, plot3D, ComplexHeatmap, circlize, grid, grDevices, graphics
LinkingTo	Rcpp
Suggests	ggplot2, TENxPBMCData, dplyr, Rtsne, Seurat, AnnotationDbi, BiocGenerics, stringr, org.Hs.eg.db, knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	ASURAT_1.2.0.tar.gz
Windows Binary	ASURAT_1.2.0.zip (64-bit only)
macOS Binary (x86_64)	ASURAT_1.2.0.tgz
macOS Binary (arm64)	ASURAT_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/ASURAT
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/ASURAT
Bioc Package Browser	https://code.bioconductor.org/browse/ASURAT/
Package Short Url	https://bioconductor.org/packages/ASURAT/
Package Downloads Report	Download Stats