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Jifan Shi

Showing results (1-10 of 18) with videos related to

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Chaos (Woodbury, N.Y.)|July 1, 2022
Mean-field analysis of Stuart-Landau oscillator networks with symmetric coupling and dynamical noiseYang Li, Jifan Shi, Kazuyuki Aihara
Physical Review. E|April 15, 2016
Towards a critical transition theory under different temporal scales and noise strengthsJifan Shi, Tiejun Li, Luonan Chen
Chaos (Woodbury, N.Y.)|September 1, 2022
Publisher's Note: "Mean-field analysis of Stuart-Landau oscillator networks with symmetric coupling and dynamical noise" [Chaos 32, 063114 (2022)]Yang Li, Jifan Shi, Kazuyuki Aihara
National Science Review|October 25, 2021
Dynamics-based data science in biologyJifan Shi, Kazuyuki Aihara, Luonan Chen
Journal of the Royal Society, Interface|March 30, 2022
Embedding entropy: a nonlinear measure of dynamical causalityJifan Shi, Luonan Chen, Kazuyuki Aihara
Plos Computational Biology|November 14, 2019
Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death processJifan Shi, Tiejun Li, Luonan Chen, et al.
National Science Review|August 22, 2022
Energy landscape decomposition for cell differentiation with proliferation effectJifan Shi, Kazuyuki Aihara, Tiejun Li, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 5, 2025
Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical TransitionShirui Bian, Zezhou Wang, Siyang Leng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Quantifying Direct Dependencies in Biological Networks by Multiscale Association AnalysisJifan Shi, Juan Zhao, Xiaoping Liu, et al.
Briefings in Bioinformatics|October 6, 2018
Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measuresJifan Shi, Andrew E Teschendorff, Weiyan Chen, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Chaos (Woodbury, N.Y.)|July 1, 2022
Mean-field analysis of Stuart-Landau oscillator networks with symmetric coupling and dynamical noiseYang Li, Jifan Shi, Kazuyuki Aihara
Physical Review. E|April 15, 2016
Towards a critical transition theory under different temporal scales and noise strengthsJifan Shi, Tiejun Li, Luonan Chen
Chaos (Woodbury, N.Y.)|September 1, 2022
Publisher's Note: "Mean-field analysis of Stuart-Landau oscillator networks with symmetric coupling and dynamical noise" [Chaos 32, 063114 (2022)]Yang Li, Jifan Shi, Kazuyuki Aihara
National Science Review|October 25, 2021
Dynamics-based data science in biologyJifan Shi, Kazuyuki Aihara, Luonan Chen
Journal of the Royal Society, Interface|March 30, 2022
Embedding entropy: a nonlinear measure of dynamical causalityJifan Shi, Luonan Chen, Kazuyuki Aihara
Plos Computational Biology|November 14, 2019
Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death processJifan Shi, Tiejun Li, Luonan Chen, et al.
National Science Review|August 22, 2022
Energy landscape decomposition for cell differentiation with proliferation effectJifan Shi, Kazuyuki Aihara, Tiejun Li, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 5, 2025
Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical TransitionShirui Bian, Zezhou Wang, Siyang Leng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 12, 2018
Quantifying Direct Dependencies in Biological Networks by Multiscale Association AnalysisJifan Shi, Juan Zhao, Xiaoping Liu, et al.
Briefings in Bioinformatics|October 6, 2018
Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measuresJifan Shi, Andrew E Teschendorff, Weiyan Chen, et al.
Pageof 2