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: | 0.2.0 |
Depends: | R (≥ 3.5.0) |
Imports: | graphics, grDevices, lle, locfit, matrixStats, pheatmap, princurve, randomForest, RColorBrewer, Rtsne, som, stats, umap, utils |
Suggests: | DESeq2, knitr, rmarkdown |
Published: | 2021-04-07 |
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_0.2.0.tar.gz |
Windows binaries: | r-devel: FateID_0.2.0.zip, r-release: FateID_0.2.0.zip, r-oldrel: FateID_0.2.0.zip |
macOS binaries: | r-release: FateID_0.2.0.tgz, r-oldrel: FateID_0.2.0.tgz |
Old sources: | FateID archive |
Reverse imports: | RaceID |
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