DOI: 10.18129/B9.bioc.scFeatures  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see scFeatures.

scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction

Bioconductor version: 3.17

scFeatures constructs multi-view representations of single-cell and spatial data. scFeatures is a tool that generates multi-view representations of single-cell and spatial data through the construction of a total of 17 feature types. These features can then be used for a variety of analyses using other software in Biocondutor.

Author: Yue Cao [aut, cre], Yingxin Lin [aut], Ellis Patrick [aut], Pengyi Yang [aut], Jean Yee Hwa Yang [aut]

Maintainer: Yue Cao <yue.cao at>

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HTML R Script Overview of scFeatures with case studies
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biocViews CellBasedAssays, SingleCell, Software, Spatial, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.17 (R-4.3) (< 6 months)
License GPL-3
Depends R (>= 4.2.0)
Imports DelayedArray, DelayedMatrixStats, EnsDb.Hsapiens.v79, EnsDb.Mmusculus.v79, GSVA, Seurat, ape, glue, dplyr, ensembldb, gtools, msigdbr, proxyC, reshape2, spatstat.explore, spatstat.geom, tidyr, AUCell, BiocParallel, SpatialExperiment, SummarizedExperiment, rmarkdown, methods, stats, DT, cli, SingleCellSignalR, MatrixGenerics
Suggests knitr, S4Vectors, survival, survminer, BiocStyle, ClassifyR,, clusterProfiler
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