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:10.1101/218115>.

Version: 0.1.1
Depends: R (≥ 3.3)
Imports: caTools, DESeq2, destiny, graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, RColorBrewer, rgl, Rtsne, som, stats, utils
Suggests: knitr, rmarkdown
Published: 2018-03-26
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_0.1.1.tar.gz
Windows binaries: r-prerel: FateID_0.1.1.zip, r-release: FateID_0.1.1.zip, r-oldrel: FateID_0.1.1.zip
OS X binaries: r-prerel: FateID_0.1.1.tgz, r-release: FateID_0.1.1.tgz
Old sources: FateID archive


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