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https://github.com/rikenbit/scTensor
R package for detection of cell-cell interaction using Non-negative Tensor Decomposition
https://github.com/rikenbit/scTensor
Last synced: 4 months ago
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R package for detection of cell-cell interaction using Non-negative Tensor Decomposition
- Host: GitHub
- URL: https://github.com/rikenbit/scTensor
- Owner: rikenbit
- Created: 2018-05-28T09:36:23.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-01-12T09:46:17.000Z (over 1 year ago)
- Last Synced: 2023-12-01T06:00:25.946Z (7 months ago)
- Language: R
- Size: 18.2 MB
- Stars: 32
- Watchers: 16
- Forks: 6
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Lists
- awesome-cell-cell-communication - scTensor - [R]- scTensor is a R package for detection of cell-cell interaction using Non-negative Tensor Decomposition. (Uncategorized / Uncategorized)
README
[![DOI](https://zenodo.org/badge/135140761.svg)](https://zenodo.org/badge/latestdoi/135140761)
[![](https://img.shields.io/badge/release%20version-2.6.0-green.svg)](https://www.bioconductor.org/packages/release/bioc/html/scTensor.html)
![GitHub Actions](https://github.com/rikenbit/scTensor/actions/workflows/build_test_push.yml/badge.svg)# scTensor
R package for detection of cell-cell interaction using Non-negative Tensor DecompositionInstallation of Dependent Packages
======
```r
# CRAN
install.packages(c("RSQLite", "igraph", "plotly", "nnTensor",
"rTensor", "abind", "plotrix", "heatmaply", "tagcloud",
"rmarkdown", "knitr", "outliers", "crayon", "checkmate",
"testthat", "Seurat", "BiocManager"),
repos="http://cran.r-project.org")# Bioconductor
library("BiocManager")
BiocManager::install(c("S4Vectors", "reactome.db", "AnnotationDbi",
"SummarizedExperiment", "SingleCellExperiment", "BiocStyle",
"biomaRt", "MeSHDbi", "Category", "meshr", "GOstats", "ReactomePA",
"DOSE", "LRBase.Hsa.eg.db", "MeSH.Hsa.eg.db", "LRBase.Mmu.eg.db",
"MeSH.Mmu.eg.db", "LRBaseDbi", "Homo.sapiens"),
suppressUpdates=TRUE)
```Installation
======
```r
git clone https://github.com/rikenbit/scTensor/
R CMD INSTALL scTensor
```
or type the code below in the R console window
```r
install.packages("devtools", repos="http://cran.r-project.org")
library(devtools)
devtools::install_github("rikenbit/scTensor")
```## License
Copyright (c) 2018 Koki Tsuyuzaki and Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Reseach
Released under the [Artistic License 2.0](http://www.perlfoundation.org/artistic_license_2_0).## Authors
- Koki Tsuyuzaki
- Manabu Ishii
- Itoshi Nikaido