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

The algorithm is based on the non-negative tucker decomposition (NTD2) of nnTensor.

Package overview Detection and visualization of cell-cell interactions using `LRBaseDbi`, `LRBase.XXX.eg.db`, and `scTensor` package How to interpret the HTML report generated by `cellCellReport` function How to perform CCI simulation by `cellCellSimulate` function How to reanalyze the results of scTensor Roadmap to prepare the input matrix for `scTensor`

Vignettes Man pages API and functions Files

Package details
Author	Koki Tsuyuzaki [aut, cre], Kozo Nishida [aut]
Bioconductor views	DimensionReduction GeneExpression SingleCell Software
Maintainer	Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
License	Artistic-2.0
Version	2.0.0
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("scTensor")`

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scTensor documentation built on Nov. 8, 2020, 5 p.m.

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