CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

ABSTRACT Cell fate decisions are orchestrated by intricate gene regulatory networks (GRNs), which govern gene expression with precise spatiotemporal control. However, accurately capturing context‐specific nature of gene regulation remains challenging, particularly when integrating multi‐omics data a...

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Detalhes bibliográficos

Principais autores:	Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2026-02-01
coleção:	Advanced Science
Assuntos:	cell fate gene regulatory network perturbation simulation transfer learning
Acesso em linha:	https://doi.org/10.1002/advs.202508697
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