Schematic of the directed network flow entropy (DNFE) algorithm.

<p>(A) Given a set of control cells or samples and a corresponding set of case cells/samples at point T, we generated the specific directed network using rewire weighted gene co-expression network analysis with the direction determination index. (B) The global DNFE is calculated to pinpoint th...

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Bibliographic Details
Main Author:	Xueqing Peng (10678527) (author)
Other Authors:	Rui Qiao (458542) (author), Peiluan Li (6156950) (author), Luonan Chen (21547) (author)
Published:	2025
Subjects:	Biophysics Cell Biology Genetics Molecular Biology Developmental Biology Cancer Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> typically outperforms existing methods identified &# 8220 dynamic biological processes delay disastrous outcomes six real datasets one stable state detecting tipping points dynamic network biomarkers method &# 8217 including three single identifying critical states critical state tipping point cell datasets driving network directed network usually overlooked scale data sample data numerical simulations implemented based dimensional small cell rna cell data bulk data blood dataset
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Schematic of the directed network flow entropy (DNFE) algorithm.

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