Systems biology informed deep learning for inferring parameters and hidden dynamics
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DOI: 10.1371/journal.pcbi.1007575
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References listed on IDEAS
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Cited by:
- Fujun Cao & Xiaobin Guo & Fei Gao & Dongfang Yuan, 2023. "Deep Learning Nonhomogeneous Elliptic Interface Problems by Soft Constraint Physics-Informed Neural Networks," Mathematics, MDPI, vol. 11(8), pages 1-23, April.
- Katharina Paulick & Simon Seidel & Christoph Lange & Annina Kemmer & Mariano Nicolas Cruz-Bournazou & André Baier & Daniel Haehn, 2022. "Promoting Sustainability through Next-Generation Biologics Drug Development," Sustainability, MDPI, vol. 14(8), pages 1-31, April.
- Wenlong He & Peng Xia & Xinan Zhang & Tianhai Tian, 2022. "Bayesian Inference Algorithm for Estimating Heterogeneity of Regulatory Mechanisms Based on Single-Cell Data," Mathematics, MDPI, vol. 10(24), pages 1-15, December.
- Chen, Mo & Wang, Ankai & Wang, Chao & Wu, Huagan & Bao, Bocheng, 2022. "DC-offset-induced hidden and asymmetric dynamics in Memristive Chua's circuit," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
- Benjamin Fan & Edward Qiao & Anran Jiao & Zhouzhou Gu & Wenhao Li & Lu Lu, 2023. "Deep Learning for Solving and Estimating Dynamic Macro-Finance Models," Papers 2305.09783, arXiv.org.
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