Package: FateID 0.2.2

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. (2018) <doi:10.1038/nmeth.4662>.

Authors:Dominic Grün <[email protected]>

FateID_0.2.2.tar.gz
FateID_0.2.2.zip(r-4.7)FateID_0.2.2.zip(r-4.6)FateID_0.2.2.zip(r-4.5)
FateID_0.2.2.tgz(r-4.6-any)FateID_0.2.2.tgz(r-4.5-any)
FateID_0.2.2.tar.gz(r-4.7-any)FateID_0.2.2.tar.gz(r-4.6-any)
FateID_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FateID/json (API)

# Install 'FateID' in R:
install.packages('FateID', repos = c('https://dgrun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dgrun/fateid/issues

Datasets:
  • intestine - Single-cell transcriptome data of intestinal epithelial cells

On CRAN:

Conda:

6.51 score 22 stars 1 packages 49 scripts 269 downloads 2 mentions 17 exports 35 dependencies

Last updated from:f2ea6f9b49. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK191
source / vignettesOK321
linux-release-x86_64OK191
macos-release-arm64OK147
macos-oldrel-arm64OK173
windows-develOK141
windows-releaseOK174
windows-oldrelOK185
wasm-releaseOK150

Exports:compdrdiffexpnbfateBiasfiltersetgene2genegetFeatgetPartgetsomimpGenesplotdiffgenesnbplotexpressionplotexpressionProfileplotFateMapplotheatmapprcurveprocsomreclassify

Dependencies:askpassclifarvergluegtableherejsonlitelabelinglatticelifecyclelocfitMatrixmatrixStatsopensslpheatmappngprincurveR6randomForestrappdirsRColorBrewerRcppRcppEigenRcppTOMLreticulaterlangrprojrootRSpectraRtsnescalessomsysumapviridisLitewithr

FateID reference manual

Rendered fromFateID.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2022-06-14
Started: 2017-11-07