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>.

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Description file content

Package
FateID
Title
Quantification of Fate Bias in Multipotent Progenitors
Version
0.1.4
Date
2018-08-07
Author
Dominic Grün
Maintainer
Dominic Grün
Description
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) .
Depends
R (>= 3.4)
biocViews
Imports
graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, rgl, RColorBrewer, Rtsne, som, stats, utils
Suggests
DESeq2, destiny, knitr, rmarkdown
VignetteBuilder
knitr
License
GPL-3
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-08-07 12:41:56 UTC; d.grun
Repository
CRAN
Date/Publication
2018-08-07 13:40:07 UTC

install.packages('FateID')

0.1.4

2 months ago

Dominic Grün

GPL-3

Depends on

R (>= 3.4)

Imports

graphics, grDevices, lle, locfit, pheatmap, princurve, randomForest, rgl, RColorBrewer, Rtsne, som, stats, utils

Suggests

DESeq2, destiny, knitr, rmarkdown

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