MIWE: detecting the critical states of complex biological systems by the mutual information weighted entropy.

ABSTRACT: Complex biological systems often undergo sudden qualitative changes during their dynamic evolution. These critical transitions are typically characterized by a catastrophic progression of the system. Identifying the critical point is critical to uncovering the underlying mechanisms of complex biological systems. However, the system may exhibit minimal changes in its state until the critical point is reached, and in the face of high throughput and strong noise data, traditional biomarkers may not be effective in distinguishing the critical state. In this study, we propose a novel approach, mutual information weighted entropy (MIWE), which uses mutual information between genes to build networks and identifies critical states by quantifying molecular dynamic differences at each stage through

SUBMITTER: Xie Y 

PROVIDER: S-EPMC10822190 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature