DOI: 10.18129/B9.bioc.scTensor    

This is the development version of scTensor; to use it, please install the devel version of Bioconductor.

Detection of cell-cell interaction within single-cell RNA-Seq data

Bioconductor version: Development (3.9)

The algorithm is based on the non-negative tucker decomposition (NTD) of nnTensor.

Author: Koki Tsuyuzaki [aut, cre]

Maintainer: Koki Tsuyuzaki <k.t.the-answer at>

Citation (from within R, enter citation("scTensor")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("scTensor", version = "3.9")

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:



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biocViews DimensionReduction, SingleCell, Software
Version 0.99.22
In Bioconductor since BioC 3.9 (R-3.6)
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, biomaRt, MeSHDbi, grDevices, graphics, stats, utils, outliers, Category, meshr, GOstats, ReactomePA, DOSE, crayon, checkmate
Suggests testthat,,,,, LRBaseDbi
Depends On Me
Imports Me
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Follow Installation instructions to use this package in your R session.

Source Package scTensor_0.99.22.tar.gz
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Mac OS X 10.11 (El Capitan) scTensor_0.99.22.tgz
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