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scaper: Single Cell Transcriptomics-Level Cytokine Activity Predictionand Estimation

Generates cell-level cytokine activity estimates using relevant information from gene sets constructed with the 'CytoSig' and the 'Reactome' databases and scored using the modified 'Variance-adjusted Mahalanobis (VAM)' framework for single-cell RNA-sequencing (scRNA-seq) data. 'CytoSig' database is described in: Jiang at al., (2021) <doi:10.1038/s41592-021-01274-5>. 'Reactome' database is described in: Gillespie et al., (2021) <doi:10.1093/nar/gkab1028>. The 'VAM' method is outlined in: Frost (2020) <doi:10.1093/nar/gkaa582>.

Version:0.2.0
Depends:R (≥ 3.5.0)
Imports:magrittr,xml2,stringr,dplyr,Seurat,SeuratObject,VAM, utils
Suggests:knitr,pheatmap,rmarkdown,usethis
Published:2025-04-16
DOI:10.32614/CRAN.package.scaper
Author:H. Robert Frost [aut], Azka Javaid [aut, cre]
Maintainer:Azka Javaid <azka.javaid.gr at dartmouth.edu>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
CRAN checks:scaper results

Documentation:

Reference manual:scaper.html ,scaper.pdf
Vignettes:scaper-vignette-CytoSig (source,R code)
scaper-vignette-Reactome (source,R code)

Downloads:

Package source: scaper_0.2.0.tar.gz
Windows binaries: r-devel:scaper_0.2.0.zip, r-release:scaper_0.2.0.zip, r-oldrel:scaper_0.2.0.zip
macOS binaries: r-release (arm64):scaper_0.2.0.tgz, r-oldrel (arm64):scaper_0.2.0.tgz, r-release (x86_64):scaper_0.2.0.tgz, r-oldrel (x86_64):scaper_0.2.0.tgz
Old sources: scaper archive

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