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: | 0.1.0 |
Depends: | R (≥ 3.3.2) |
Imports: | caTools, DESeq2, destiny, graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, RColorBrewer, rgl, Rtsne, som, stats, utils |
Suggests: | knitr, rmarkdown |
Published: | 2017-11-15 |
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_0.1.0.tar.gz |
Windows binaries: | r-devel: FateID_0.1.0.zip, r-release: FateID_0.1.0.zip, r-oldrel: FateID_0.1.0.zip |
OS X El Capitan binaries: | r-release: not available |
OS X Mavericks binaries: | r-oldrel: not available |
Old sources: | FateID archive |
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