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
Author:	Dominic Grün
Maintainer:	Dominic Grün <dominic.gruen at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	FateID results

Documentation:

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

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:

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