DNFE: Directed network flow entropy for detecting tipping points during biological processes.

ABSTRACT: Typically, in dynamic biological processes, there is a critical state or tipping point that marks the transition from one stable state to another, surpassing which a considerable qualitative shift takes place. Identifying this tipping point and its driving network is essential to avert or delay disastrous outcomes. However, most traditional approaches built upon undirected networks still suffer from a lack of robustness and effectiveness when implemented based on high-dimensional small-sample data, especially for single-cell data. To address this challenge, we develop a directed network flow entropy (DNFE) method, which can transform measured omics data into a directed network. This method is applicable to both single-cell RNA-sequencing (scRNA-seq) and bulk data. Applying this algorithm t

SUBMITTER: Peng X 

PROVIDER: S-EPMC12316398 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature