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September 24, 2025Open Access

Bayesian inference of lineage trees by joint analysis of single-cell multimodal lineage-tracing data with BiLinT

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Authors

ZCZiwei ChenBZBingwei ZhangLTLinrui Tang

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Overview

Bayesian inference improves lineage tree accuracy in single-cell data, suggesting a unified analysis approach.

Key Points

  • BiLinT successfully reconstructs high-resolution lineage trees, improving accuracy in lineage-tracing.
  • By integrating lineage barcode evolution and gene expression dynamics, this method reveals developmental fate biases.
  • The model combines continuous-time Markov chains and Ornstein-Uhlenbeck processes for probabilistic lineage analysis.
  • Applications demonstrate BiLinT's efficiency on synthetic and real datasets, enhancing traditional analysis methods.

Cite This Study

Chen et al. (2025) studied this question.

synapsesocial.com/papers/68d6d82e8b2b6861e4c3e224https://doi.org/10.1101/2025.09.21.677669
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