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FateID  

Quantification of Fate Bias in Multipotent Progenitors
View on CRAN: Click here


Download and install FateID package within the R console
Install from CRAN:
install.packages("FateID")

Install from Github:
library("remotes")
install_github("cran/FateID")

Install by package version:
library("remotes")
install_version("FateID", "0.2.2")



Attach the package and use:
library("FateID")
Maintained by
Dominic Grün
[Scholar Profile | Author Map]
First Published: 2017-11-15
Latest Update: 2022-06-14
Description:
Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Gr
How to cite:
Dominic Grün (2017). FateID: Quantification of Fate Bias in Multipotent Progenitors. R package version 0.2.2, https://cran.r-project.org/web/packages/FateID. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.0.9 (2017-11-15 14:16), 0.1.0 (2017-11-15 23:13), 0.1.1 (2018-03-26 21:51), 0.1.2 (2018-07-05 21:20), 0.1.3 (2018-07-27 22:30), 0.1.4 (2018-08-07 15:40), 0.1.5 (2018-11-13 13:10), 0.1.6 (2019-02-27 14:00), 0.1.7 (2019-03-28 13:50), 0.1.8 (2019-09-02 20:00), 0.1.9 (2019-09-21 22:20), 0.2.0 (2021-04-07 15:20), 0.2.1 (2021-10-05 11:50)
Other packages that cited FateID R package
View FateID citation profile
Other R packages that FateID depends, imports, suggests or enhances
Complete documentation for FateID
Functions, R codes and Examples using the FateID R package
Some associated functions: compdr . diffexpnb . fateBias . filterset . gene2gene . getFeat . getPart . getsom . impGenes . intestine . plotFateMap . plotdiffgenesnb . plotexpression . plotexpressionProfile . plotheatmap . prcurve . procsom . reclassify . 
Some associated R codes: FateID_functions.R . intestine.R .  Full FateID package functions and examples
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