Detection of pre-transition phases during biological development using single-sample network entropy (SNE).

ABSTRACT: Complex biological systems often undergo a pre-transition phase prior to the onset of catastrophic event, during which a sharp and essential shift occurs. There is a pressing need to develop a swift and effective method for identifying such pre-transition phase or critical state, facilitating the timely implementation of tailored interventions to prevent irreversible and catastrophic transitions. Nonetheless, the identification of the pre-transition phase at the single-sample or single-cell level remains an exceedingly daunting task in modern clinical medicine, as reliance on small sample sizes often undermines the efficacy of traditional statistical methodologies. In this study, we propose a novel critical state algorithm based on individual sample data, termed single-sample network entro

SUBMITTER: She C 

PROVIDER: S-EPMC12722215 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature