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FateID: Quantification of Fate Bias in Multipotent Progenitors

Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2018) <doi:10.1038/nmeth.4662>.

Version:0.2.2
Depends:R (≥ 3.5.0)
Imports:graphics, grDevices,locfit,matrixStats,pheatmap,princurve,randomForest,RColorBrewer,Rtsne,som, stats,umap, utils
Suggests:DESeq2,knitr,rmarkdown
Published:2022-06-14
DOI:10.32614/CRAN.package.FateID
Author:Dominic Grün
Maintainer:Dominic Grün <dominic.gruen at gmail.com>
License:GPL-3
NeedsCompilation:no
CRAN checks:FateID results

Documentation:

Reference manual:FateID.html ,FateID.pdf
Vignettes:An introduction to FateID. (source,R code)

Downloads:

Package source: FateID_0.2.2.tar.gz
Windows binaries: r-devel:FateID_0.2.2.zip, r-release:FateID_0.2.2.zip, r-oldrel:FateID_0.2.2.zip
macOS binaries: r-release (arm64):FateID_0.2.2.tgz, r-oldrel (arm64):FateID_0.2.2.tgz, r-release (x86_64):FateID_0.2.2.tgz, r-oldrel (x86_64):FateID_0.2.2.tgz
Old sources: FateID archive

Reverse dependencies:

Reverse imports:RaceID

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=FateIDto link to this page.


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