Package: FateID
Title: Quantification of Fate Bias in Multipotent Progenitors
Version: 0.2.2
Date: 2022-06-14
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>
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. (2018)
        <DOI:10.1038/nmeth.4662>.
Depends: R (>= 3.5.0)
biocViews:
Imports: graphics, grDevices, locfit, matrixStats, pheatmap, princurve,
        randomForest, RColorBrewer, Rtsne, som, stats, umap, utils
Suggests: DESeq2, knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-06-11 10:42:04 UTC; root
Config/pak/sysreqs: libpng-dev libssl-dev python3
Repository: https://dgrun.r-universe.dev
Date/Publication: 2022-06-14 12:17:40 UTC
RemoteUrl: https://github.com/dgrun/fateid
RemoteRef: HEAD
RemoteSha: f2ea6f9b4981ae47cb1e5fd55d38ae9de144ad52