FateID is a tool to quantify and visualize the bias of cell fate among multipotent progenitors in single-cell RNA-seq (scRNA-seq) data sets. The FateID uses the RaceID3 clustering algorithm for the identification of the cell types and an iterative supervised machine learning technique for quantification of biases in progenitors.
RNA-seq; Cell biology; Genetics; Regenerative medicine
Herman JS, Sagar, Grun D "FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data." Nat Methods. 2018 May;15(5):379-386. https://doi.org/10.1038/nmeth.4662
PMID: 29630061
If you find errors, please report here.
SECTIONS
TutorialsFind thousands of Bioinformatics and Life Science software tools and databases in the newly launched
Ads