 
  
 
   
   This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see ASURAT.
Bioconductor version: 3.15
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]
, Johannes Nicolaus Wibisana [ctb] 
Maintainer: Keita Iida <kiida at protein.osaka-u.ac.jp>
Citation (from within R,
      enter citation("ASURAT")):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ASURAT")
    
| HTML | R Script | ASURAT | 
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE | 
| biocViews | Clustering, GeneExpression, GeneSignaling, Sequencing, SingleCell, Software | 
| Version | 1.0.0 | 
| In Bioconductor since | BioC 3.15 (R-4.2) (0.5 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 | 
| 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 | 
Follow Installation instructions to use this package in your R session.
| Source Package | ASURAT_1.0.0.tar.gz | 
| Windows Binary | ASURAT_1.0.0.zip (64-bit only) | 
| macOS Binary (x86_64) | ASURAT_1.0.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/ASURAT | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ASURAT | 
| Package Short Url | https://bioconductor.org/packages/ASURAT/ | 
| Package Downloads Report | Download Stats | 
 
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