Dynamical systems theory as an organizing principle for single-cell biology

The emergence of single-cell transcriptomics has given us novel views of gene expression heterogeneity and cellular trajectories in development and disease at unprecedented resolution. However, an overarching theoretical framework to interpret single-cell gene expression data is lacking. Here we argue that dynamical systems theory can provide an interpretable, causal, and quantitative perspective to understand and analyze these enormously rich data sets, in addition to yielding potential benefits for health care.

• Publication year

  2025

• Venue

  npj Systems Biology and Applications

• Publication date

  2025-08-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/s41540-025-00565-3PMID 40750599PMCID 12316871
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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