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陈爱敏
姓名:陈爱敏
职称:副教授
办公室:BEVITOR伟德附一楼
邮箱: chenaimin@henu.edu.cn
陈爱敏,中山大学数学学院获得理学博士学位,目前主要从事计算系统生物学、生物统计以及生物信息等与生命科学问题相关的数学、非线性控制以及网络科学方面的研究,已发表SCI论文十余篇。
代表性学术论文:
[1] A.M. Chen, Q.W. Ren, T.S. Zhou, P. Burrage, T.H. Tian, K. Burrage. Balanced implicit Patankar–Euler methods for positive solutions of stochastic differential equations of biological regulatory systems. Journal of Chemical Physics, 2024 160, 064117.
[2] A.M. Chen, T.S. Zhou, P. Burrage, T.H. Tian, K. Burrage. Composite Patankar-Euler methods for positive simulations of stochastic differential equation models for biological regulatory systems. Journal of Chemical Physics, 2023, 159, 024104.
[3] A.M. Chen, T.S. Zhou and T.H. Tian, Computer simulation of nonlinear mixed-effect models with ordinary differential equations for genetic regulation, The 15th International Conference on Computer Modeling and Simulation (ICCMS), 2023, June 16–18.
[4] A.M. Chen, T.H. Tian, Y.R. Chen, T.S. Zhou. Stochastic analysis of a complex gene-expression model, Chaos, Solitons & Fractals, 2022, 160, 112261.
[5] A.M. Chen, T.S. Zhou, T.H. Tian, Integrated pipelines for inferring gene regulatory networks from single-cell data, Current Bioinformatics, 2022, 17(7): 559-564.
[6] A.M. Chen, H.H. Qiu, T.H. Tian, T.S. Zhou, Generalized fluctuation-dissipation theorem for non-Markovian reaction networks, Physical Review E, 2022, 105, 064409.
[7] A.M. Chen, T.S. Zhou, T.H. Tian, Balance of positive and negative regulation for trade-off between efficiency and resilience of high-dimenssonal networks, Physica A: Statistical Mechanics & Its Applications, 2022, 603, 127879.