Package: scTensor 2.23.0

Koki Tsuyuzaki

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.

Authors:Koki Tsuyuzaki [aut, cre], Kozo Nishida [aut]

scTensor_2.23.0.tar.gz
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scTensor_2.23.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
scTensor/json (API)
NEWS

# Install 'scTensor' in R:
install.packages('scTensor', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • GermMale - The matrix which is used as test data of scTensor.
  • labelGermMale - The vector contains the celltype information and color scheme of GermMale
  • m - The gene-wise mean vector of Quartz-Seq data.
  • tsneGermMale - The result of Rtsne against GermMale
  • v - The gene-wise variance vector of Quartz-Seq data.

On BioConductor:scTensor-2.23.0(bioc 3.24)scTensor-2.22.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

dimensionreductionsinglecellsoftwaregeneexpression

4.18 score 2 scripts 334 downloads 1 mentions 8 exports 222 dependencies

Last updated from:8da1a464dc. Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR441
linux-devel-x86_64WARNING726
source / vignettesOK531
linux-release-x86_64WARNING717
macos-release-arm64WARNING406
macos-oldrel-arm64WARNING282
windows-develWARNING1130
windows-releaseWARNING715
windows-oldrelWARNING1089
wasm-releaseOK381

Exports:cellCellDecompcellCellRankscellCellReportcellCellSettingcellCellSimulategetParamnewCCSParamssetParam<-

Dependencies:abindannotateAnnotationDbiAnnotationForgeAnnotationHubapeaplotaskpassassertthatbackportsbase64encBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocStyleBiocVersionBiostringsbitbit64bitopsblobbookdownbslibcacachemcallrCategoryccTensorcheckmateclassclassIntcliclustercodetoolscolorspacecommonmarkconcavemancpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydendextenddigestdir.expiryDOSEdotCall64dplyre1071eggenrichitenrichplotentropyevaluatefarverfastmapfdrtoolfieldsfilelockfontawesomefontBitstreamVerafontLiberationfontquiverforeachfsgclusgdtoolsgenefiltergenericsGenomicRangesggforceggfunggiraphggnewscaleggplot2ggplotifyggraphggrepelggtangleggtreeglueGO.dbGOSemSimGOstatsgraphgraphitegraphlayoutsgridExtragridGraphicsGSEABasegsongtableheatmaplyhexbinhighrhtmltoolshtmlwidgetshttrhttr2igraphIRangesisobanditeratorsjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglaterlatticelazyevallifecyclelitedownmagrittrmapsmarkdownMASSMatrixMatrixGenericsmatrixStatsmemoiseMeSHDbimeshrmgcvmimemisc3dnlmennTensoropenssloteloutlierspatchworkpermutepillarpkgconfigplot3DplotlyplotrixplyrpngpolyclipprocessxpromisesproxypspurrrqapR6RANNrappdirsRBGLRColorBrewerRcppRcppArmadilloRcppEigenRCurlreactome.dbReactomePAregistryreshape2RgraphvizrlangrmarkdownRSpectraRSQLiterTensors2S4ArraysS4VectorsS7sassscalesscatterpieschexSeqinfoseriationsfSingleCellExperimentspamSparseArraystringistringrSummarizedExperimentsurvivalsyssystemfontstagcloudtibbletidydrtidygraphtidyrtidyselecttidytreetinytextreeioTSPtweenrunitsutf8V8vctrsveganVicusviridisviridisLitevisNetworkwebshotwithrwkxfunXMLxtableXVectoryamlyulab.utils

Detection and visualization of cell-cell interactions using LRBase and scTensor

Rendered fromscTensor.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2025-06-19
Started: 2018-06-27

Roadmap to prepare the input matrix for scTensor

Rendered fromscTensor_1_Data_format_ID_Conversion.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2025-05-23
Started: 2019-06-19

How to interpret the HTML report generated by cellCellReport function

Rendered fromscTensor_2_Report_Interpretation.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2020-09-15
Started: 2019-06-19

How to perform CCI simulation by cellCellSimulate function

Rendered fromscTensor_3_CCI_Simulation.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2020-09-15
Started: 2019-06-19

How to reanalyze the results of scTensor

Rendered fromscTensor_4_Reanalysis.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2025-05-23
Started: 2019-10-23

Readme and manuals

Help Manual

Help pageTopics
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decompositionscTensor-package scTensor
Class "CCSParams"CCSParams-class
Performing scTensorcellCellDecomp cellCellDecomp,SingleCellExperiment-method
Rank estimation of the CCI-tensorcellCellRanks cellCellRanks,SingleCellExperiment-method
HTML report of the result of scTensorcellCellReport cellCellReport,SingleCellExperiment-method
Parameter setting for scTensorcellCellSetting cellCellSetting,SingleCellExperiment-method
Parameter Simulate for scTensorcellCellSimulate cellCellSimulate,SingleCellExperiment-method
The matrix which is used as test data of scTensor.GermMale
Get a parametergetParam getParam,CCSParams-method
The vector contains the celltype information and color scheme of GermMalelabelGermMale
The gene-wise mean vector of Quartz-Seq data.m
New ParamsnewCCSParams
Set a parametersetParam setParam,CCSParams,ANY-method setParam,CCSParams-method setParam<- setParam<-,CCSParams,ANY-method setParam<-,CCSParams-method
The result of Rtsne against GermMaletsneGermMale
The gene-wise variance vector of Quartz-Seq data.v