DOI: 10.18129/B9.bioc.scTensor  

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

Bioconductor version: Release (3.17)

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>

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HTML R Script 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
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Text   NEWS


biocViews DimensionReduction, GeneExpression, SingleCell, Software
Version 2.10.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 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
Suggests testthat, LRBaseDbi, Seurat, scTGIF, Homo.sapiens
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