ASURAT
Functional annotation-driven unsupervised clustering for single-cell data
Bioconductor version: Release (3.17)
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>
citation("ASURAT")
):
Installation
To install this package, start R (version "4.3") 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")
ASURAT | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Clustering, GeneExpression, GeneSignaling, Sequencing, SingleCell, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.15 (R-4.2) (1.5 years) |
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 |
Linking To | Rcpp |
Suggests | ggplot2, TENxPBMCData, dplyr, Rtsne, Seurat, AnnotationDbi, BiocGenerics, stringr, org.Hs.eg.db, knitr, rmarkdown, testthat (>= 3.0.0) |
System Requirements | |
Enhances | |
URL |
See More
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_1.4.0.tar.gz |
Windows Binary | ASURAT_1.4.0.zip (64-bit only) |
macOS Binary (x86_64) | ASURAT_1.4.0.tgz |
macOS Binary (arm64) | ASURAT_1.4.0.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 |