scTensor (original) (raw)

This is the released version of scTensor; for the devel version, seescTensor.

Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition

Bioconductor version: Release (3.20)

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")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scTensor")

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("scTensor")
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 HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DimensionReduction, GeneExpression, SingleCell, Software
Version 2.16.0
In Bioconductor since BioC 3.9 (R-3.6) (5.5 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

Suggests testthat, LRBaseDbi, Seurat, scTGIF, Homo.sapiens, AnnotationHub
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package scTensor_2.16.0.tar.gz
Windows Binary (x86_64) scTensor_2.16.0.zip
macOS Binary (x86_64) scTensor_2.16.0.tgz
macOS Binary (arm64) scTensor_2.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scTensor
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scTensor
Bioc Package Browser https://code.bioconductor.org/browse/scTensor/
Package Short Url https://bioconductor.org/packages/scTensor/
Package Downloads Report Download Stats