This is the released version of scFeatures; for the devel version, see scFeatures.
scFeatures: Multi-view representations of single-cell and spatial data for disease outcome predictionBioconductor version: Release (3.21)
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 sydney.edu.au>
Citation (from within R, entercitation("scFeatures")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scFeatures")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scFeatures")
Overview of scFeatures with case studies HTML R Script Reference Manual PDF Details biocViews CellBasedAssays, SingleCell, Software, Spatial, Transcriptomics Version 1.8.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License GPL-3 Depends R (>= 4.2.0) Imports DelayedArray, DelayedMatrixStats, EnsDb.Hsapiens.v79, EnsDb.Mmusculus.v79, GSVA, ape, glue, dplyr, ensembldb, gtools, msigdbr, proxyC, reshape2, spatstat.explore, spatstat.geom, tidyr, AUCell, BiocParallel, rmarkdown, methods, stats, cli, SingleCellSignalR, MatrixGenerics, Seurat, DT System Requirements URL https://sydneybiox.github.io/scFeatures/ https://github.com/SydneyBioX/scFeatures/ Bug Reports https://github.com/SydneyBioX/scFeatures/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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