CIBER is a computational framework that leverages causal inference to dissect cellular state transitions and to identify cell fate-determining features.
- It can infer causality in the absence of continuity in cell states.
- It is applicable to single-cell omics, bulk omics and microarray data.
- It outperforms differential analyses in enriching crucial genes.
Matrix-1.3-4
bnlearn-4.7
devtools::install_github("https://github.com/Lan-lab/CIBER")
https://github.com/Lan-lab/CIBER/tree/main/tutorials
