This is the development version of scTensor; for the stable release version, see scTensor.
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decompositionBioconductor version: Development (3.22)
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, entercitation("scTensor")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scTensor")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scTensor")
Details biocViews DimensionReduction, GeneExpression, SingleCell, Software Version 2.19.2 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License Artistic-2.0 Depends R (>= 4.1.0) Imports methods, RSQLite, igraph, S4Vectors, plotly, reactome.db, AnnotationDbi, SummarizedExperiment, SingleCellExperiment, nnTensor (>= 1.1.5), ccTensor (>= 1.0.2), rTensor (>= 1.4.8), abind, plotrix, heatmaply, tagcloud, rmarkdown, BiocStyle, knitr, AnnotationHub, MeSHDbi(>= 1.29.2), grDevices, graphics, stats, utils, outliers, Category, meshr(>= 1.99.1), GOstats, ReactomePA, DOSE, crayon, checkmate, BiocManager, visNetwork, schex, ggplot2 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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