Critical states of the human embryonic stem cell (hESC) differentiation process revealed by directed network flow entropy (DNFE).

<p>(A)The DNFE scores at 12 and 36 h of hESC differentiation are elevated compared to those at the other time points, suggesting that these intervals represent critical states in the process of hESC differentiation. (B) The errorbars at each time point. (C) The landscape of the global DNFE sco...

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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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Critical states of the human embryonic stem cell (hESC) differentiation process revealed by directed network flow entropy (DNFE).

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