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


Reference manual: FateID.pdf
Vignettes: An introduction to FateID.


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


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