1) DNFE: Directed network flow entropy for detecting tipping points during biological processes
2) scGET: Predicting Cell Fate Transition During Early Embryonic Development by Single-cell Graph Entropy.
3) Uncovering the Pre-Deterioration State during Disease Progression Based on Sample-Specific Causality Network Entropy (SCNE).
4) A comparison of single-cell trajectory inference methods.
5) Deep learning for inferring gene relationships from single-cell expression data.