 
  
 
   
   This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see scTensor.
Bioconductor version: 3.13
The algorithm is based on the non-negative tucker decomposition (NTD2) of nnTensor.
Author: Koki Tsuyuzaki [aut, cre], Kozo Nishida [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp>
Citation (from within R,
      enter citation("scTensor")):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("scTensor")
    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("scTensor")
    
| HTML | R Script | scTensor | 
| HTML | R Script | scTensor: 1. Data format and ID conversion | 
| HTML | R Script | scTensor: 2. Interpretation of HTML report | 
| HTML | R Script | scTensor: 3. Simulation of CCI | 
| HTML | R Script | scTensor: 4. Reanalysis of the results of scTensor | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | DimensionReduction, GeneExpression, SingleCell, Software | 
| Version | 2.2.0 | 
| In Bioconductor since | BioC 3.9 (R-3.6) (2.5 years) | 
| License | Artistic-2.0 | 
| Depends | R (>= 3.5.0) | 
| Imports | methods, RSQLite, igraph, S4Vectors, plotly, reactome.db, AnnotationDbi, SummarizedExperiment, SingleCellExperiment, nnTensor, rTensor, abind, plotrix, heatmaply, tagcloud, rmarkdown, BiocStyle, knitr, AnnotationHub, MeSHDbi, grDevices, graphics, stats, utils, outliers, Category, meshr, GOstats, ReactomePA, DOSE, crayon, checkmate, BiocManager, visNetwork, schex, ggplot2 | 
| LinkingTo | |
| Suggests | testthat, LRBase.Hsa.eg.db, LRBase.Mmu.eg.db, LRBaseDbi, Seurat, scTGIF, Homo.sapiens | 
| 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 | scTensor_2.2.0.tar.gz | 
| Windows Binary | scTensor_2.2.0.zip (32- & 64-bit) | 
| macOS 10.13 (High Sierra) | scTensor_2.2.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/scTensor | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scTensor | 
| Package Short Url | https://bioconductor.org/packages/scTensor/ | 
| Package Downloads Report | Download Stats | 
 
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