scFeatures
scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
Bioconductor version: 3.24 · Package version: 1.13.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scFeatures")Details
| Maintainer | Yue Cao <yue.cao@sydney.edu.au> |
| Author | Yue Cao [aut, cre], Yingxin Lin [aut], Ellis Patrick [aut], Pengyi Yang [aut], Jean Yee Hwa Yang [aut] |
| License | GPL-3 |
| URL | https://sydneybiox.github.io/scFeatures/ https://github.com/SydneyBioX/scFeatures/ |
| Bug Reports | https://github.com/SydneyBioX/scFeatures/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | CellBasedAssays, SingleCell, Software, Spatial, Transcriptomics |
| Package Short Url | https://bioconductor.org/packages/scFeatures/ |
Citation
From within R, enter citation("scFeatures"):
Yue Cao, Yingxin Lin, Ellis Patrick, Pengyi Yang, Jean Yee Hwa Yang. scFeatures: scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction. doi:10.18129/B9.bioc.scFeatures, R package version 1.13.0, https://bioconductor.org/packages/scFeatures.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | scFeatures_1.13.0.tar.gz |
| Windows binary (x86_64) | scFeatures_1.13.0.zip |
| macOS binary (arm64) | scFeatures_1.13.0.tgz |
| macOS binary (x86_64) | scFeatures_1.13.0.tgz |
Dependencies
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, MatrixGenerics, Seurat, DT
Suggests: knitr, S4Vectors, survival, survminer, BiocStyle, ClassifyR, org.Hs.eg.db, clusterProfiler, pheatmap, limma, ggplot2, plotly, igraph, data.table, enrichplot, DOSE, rmarkdown