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  • Luo RY, Wei HB, Ye L, et al (2009). Photosynthetic metabolism of C-3 plants shows highly cooperative regulation under changing environments: A systems biological analysis. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 106(3): 847—852.   
  • Zhang YX (2009). The Efficiency of Molecular Motors. JOURNAL OF STATISTICAL PHYSICS, 134(4): 669—679.   
  • Zhang YX (2009). Properties of tug-of-war model for cargo transport by molecular motors. PHYSICAL REVIEW E, 79(6): 061918.   
  • Zhang SQ, DeGraba TJ, Wang HH, et al (2009). A novel peak detection approach with chemical noise removal using short-time FFT for prOTOF MS data. PROTEOMICS, 9(15): 3833—3842.   
  • Ge H and Qian M (2009). Boolean network approach to negative feedback loops of the p53 pathways: Synchronized dynamics and stochastic limit cycles. J. Comput. Biol., 16: 119—132.   
  • Ge H and Qian H (2009). Thermodynamic limit of a nonequilibrium steady state: Maxwell-type construction for a bistable biochemical system. Phys. Rev. Lett. 103: 148103.   
  • Ma HF, Lin W (2009). Nonlinear adaptive synchronization rule for identification of a large amount of parameters in dynamical models. PHYSICS LETTERS A, 374(2): 161—168.  
  • Lin W and Chen GR (2009). Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable Limit. IEEE TRANSACTIONS ON NEURAL NETWORKS, 20(8): 1340—1351.   
  • Ashmole I, Vavoulis DV, Stansfeld PJ, Feng JF, Sutcliffe MJ, and Stanfield PR (2009). The response of the tandem pore potassium channel TASK-3 (K2P9.1) to voltage: gating at the cytoplasmic mouth. J. Physiology, 587(20): 4769—4783.   
  • Zou CL, Kendrick KM, and Feng JF (2009). The Fourth Way: Granger Causality is better than the three other Reverse-engineering Approaches. COMMENTS ON Cell, 2009, A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches Cell, 137: 172—181.   
  • Zou CL and Feng JF (2009). Granger causality vs. Dynamic Bayesian network inference: A Comparative Study. BMC Bioinformatics, 10:122.   
  • Zhang XJ, You GQ, Chen TP, and Feng JF (2009). Maximum Likelihood Decoding of Neuronal Inputs from an Interspike Interval Distribution. Neural Computation, 21: 3079—3105.   
  • Ge T, Kendrick K, and Feng JF (2009). A Unified Dynamic and Granger Causal Model Approach Demonstrates Brain Hemispheric Differences During Face Recognition Learning. PLoS Comp. Biol., 5(11): e1000570.   

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