密度物理信息的神经网络揭示了信号传导中细胞异质性的来源

Hyeontae Jo1, Hyukpyo Hong1,2, Hyung Ju Hwang3

  • 1Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon 34126, Republic of Korea.

Patterns (New York, N.Y.)
|February 19, 2024
PubMed
概括

我们开发了Density-PINNs以从压力反应推断信号通路转导时间. 结合缓慢和快速的途径减少细胞反应异质性,帮助疾病治疗策略.