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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 |
| Reference manual: | FateID.pdf |
| Vignettes: |
An introduction to FateID. |
| 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 imports: | RaceID |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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