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scTensor

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

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

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DOI: 10.18129/B9.bioc.scTensor


Bioconductor version: Release (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")BiocManager::install("scTensor")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scTensor")
scTensorHTMLR Script
scTensor: 1. Data format and ID conversionHTMLR Script
scTensor: 2. Interpretation of HTML reportHTMLR Script
scTensor: 3. Simulation of CCIHTMLR Script
scTensor: 4. Reanalysis of the results of scTensorHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDimensionReduction,GeneExpression,SingleCell,Software
Version2.20.0
In Bioconductor sinceBioC 3.9 (R-3.6) (6.5 years)
LicenseArtistic-2.0
DependsR (>= 4.1.0)
Importsmethods,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
Suggeststestthat,LRBaseDbi,Seurat,scTGIF,Homo.sapiens
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescTensor_2.20.0.tar.gz
Windows Binary (x86_64) scTensor_2.20.0.zip
macOS Binary (x86_64)scTensor_2.20.0.tgz
macOS Binary (arm64)scTensor_2.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scTensor
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scTensor
Bioc Package Browserhttps://code.bioconductor.org/browse/scTensor/
Package Short Urlhttps://bioconductor.org/packages/scTensor/
Package Downloads ReportDownload Stats

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