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CIBER is a causal inference framework for cell fate analysis

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CIBER

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.

Requirements

Matrix-1.3-4  
bnlearn-4.7

Installation

devtools::install_github("https://github.com/Lan-lab/CIBER")

Tutorial

https://github.com/Lan-lab/CIBER/tree/main/tutorials

Inferring causal cellular networks

Fig1_副本

Identifying cell fate-determining features

Fig1_副本2

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