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. (2017) <doi:10.1038/nmeth.4662>.

Version: 0.1.4
Depends: R (≥ 3.4)
Imports: graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, rgl, RColorBrewer, Rtsne, som, stats, utils
Suggests: DESeq2, destiny, knitr, rmarkdown
Published: 2018-08-07
Author: Dominic Grün
Maintainer: Dominic Grün <dominic.gruen at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: FateID results

Downloads:

Reference manual: FateID.pdf
Vignettes: An introduction to FateID.
Package source: FateID_0.1.4.tar.gz
Windows binaries: r-devel: FateID_0.1.4.zip, r-release: FateID_0.1.4.zip, r-oldrel: FateID_0.1.4.zip
OS X binaries: r-release: FateID_0.1.4.tgz, r-oldrel: FateID_0.1.4.tgz
Old sources: FateID archive

Reverse dependencies:

Reverse imports: RaceID

Linking:

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