The yeast cell-cycle network is robustly designed F Li, T Long, Y Lu, Q Ouyang, C Tang Proceedings of the National Academy of Sciences 101 (14), 4781-4786, 2004 | 1355 | 2004 |
Stochastic model of yeast cell-cycle network Y Zhang, M Qian, Q Ouyang, M Deng, F Li, C Tang Physica D: Nonlinear Phenomena 219 (1), 35-39, 2006 | 107 | 2006 |
Constructing the energy landscape for genetic switching system driven by intrinsic noise C Lv, X Li, F Li, T Li PLoS one 9 (2), e88167, 2014 | 71 | 2014 |
Energy landscape reveals that the budding yeast cell cycle is a robust and adaptive multi-stage process C Lv, X Li, F Li, T Li PLoS computational biology 11 (3), e1004156, 2015 | 52 | 2015 |
Processes on the emergent landscapes of biochemical reaction networks and heterogeneous cell population dynamics: differentiation in living matters S Huang, F Li, JX Zhou, H Qian Journal of the Royal Society Interface 14 (130), 20170097, 2017 | 34 | 2017 |
Stochasticity triggers activation of the S-phase checkpoint pathway in budding yeast P Zhou, X Gao, X Li, L Li, C Niu, Q Ouyang, H Lou, T Li, F Li Physical Review X 11 (1), 011004, 2021 | 14 | 2021 |
Modular analysis of the probabilistic genetic interaction network L Hou, L Wang, M Qian, D Li, C Tang, Y Zhu, M Deng, F Li Bioinformatics 27 (6), 853-859, 2011 | 14 | 2011 |
Rapid quantification of polyhydroxyalkanoates accumulated in living cells based on green fluorescence protein-labeled phasins: The qPHA method X Liu, D Li, X Yan, Z Zhang, S Zheng, J Zhang, W Huang, F Wu, F Li, ... Biomacromolecules 23 (10), 4153-4166, 2022 | 11 | 2022 |
Phosphorylation energy and nonlinear kinetics as key determinants for G2/M transition in fission yeast cell cycle T Wang, J Zhao, Q Ouyang, H Qian, YV Fu, F Li bioRxiv, 084400, 2016 | 10 | 2016 |
A multicompartment mathematical model based on host immunity for dissecting COVID-19 heterogeneity J Li, J Wu, J Zhang, L Tang, H Mei, Y Hu, F Li Heliyon 8 (5), 2022 | 8 | 2022 |
Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients Z Zhou, D Li, Z Zhao, S Shi, J Wu, J Li, J Zhang, K Gui, Y Zhang, ... PLOS Computational Biology 19 (9), e1011383, 2023 | 7 | 2023 |
Comparison and evaluation of network clustering algorithms applied to genetic interaction networks L Hou, L Wang, A Berg, M Qian, Y Zhu, F Li, M Deng Frontiers in Bioscience-Elite 4 (6), 2150-2161, 2012 | 7 | 2012 |
Integrating multiple types of data to predict novel cell cycle-related genes L Wang, L Hou, M Qian, F Li, M Deng BMC Systems Biology 5, 1-12, 2011 | 7 | 2011 |
Mathematical model of the effects of plasma cortisol on human T lymphocytes recirculation L Fangting, Q Anshen Shengwu Wuli Xuebao 16 (3), 586-594, 2000 | 7 | 2000 |
Critical slowing down and attractive manifold: A mechanism for dynamic robustness in the yeast cell-cycle process Y Zhao, D Wang, Z Zhang, Y Lu, X Yang, Q Ouyang, C Tang, F Li Physical Review E 101 (4), 042405, 2020 | 6 | 2020 |
Distinguishing the rates of gene activation from phenotypic variations Y Chen, C Lv, F Li, T Li BMC systems biology 9, 1-13, 2015 | 6 | 2015 |
Non-equilibrium and stochasticity influence the activation process of the yeast DNA damage pathway CZ Jin, XD Yan, FT Li Science China. Physics, Mechanics & Astronomy 61 (2), 028721, 2018 | 5 | 2018 |
Dynamically modeling the effective range of IL-2 dosage in the treatment of systemic lupus erythematosus X Gao, J He, X Sun, F Li Iscience 25 (9), 2022 | 4 | 2022 |
Model-based cellular kinetic analysis of SARS-CoV-2 infection: different immune response modes and treatment strategies Z Zhou, Z Zhao, S Shi, J Wu, D Li, J Li, J Zhang, K Gui, Y Zhang, H Mei, ... arXiv preprint arXiv:2101.04477, 2021 | 3 | 2021 |
ATP hydrolysis kinetics and thermodynamics as determinants of calcium oscillation in pancreatic cells Y Sun, D Li, C Ni, Y Ge, H Qian, Q Ouyang, F Li Physical Review Research 4 (4), 043142, 2022 | 2 | 2022 |