Tianhai Tian
Tianhai Tian
Associate Professor of Mathematics, Monash University
Verified email at monash.edu - Homepage
Cited by
Cited by
Plasma membrane nanoswitches generate high-fidelity Ras signal transduction
T Tian, A Harding, K Inder, S Plowman, RG Parton, JF Hancock
Nature cell biology 9 (8), 905-914, 2007
Binomial leap methods for simulating stochastic chemical kinetics
T Tian, K Burrage
The Journal of chemical physics 121 (21), 10356-10364, 2004
Oscillatory regulation of Hes1: discrete stochastic delay modelling and simulation
M Barrio, K Burrage, A Leier, T Tian
PLoS computational biology 2 (9), e117, 2006
Stochastic models for regulatory networks of the genetic toggle switch
T Tian, K Burrage
Proceedings of the national Academy of Sciences 103 (22), 8372-8377, 2006
Numerical methods for strong solutions of stochastic differential equations: an overview
K Burrage, PM Burrage, T Tian
Proceedings of the Royal Society of London. Series A: Mathematical, Physical …, 2004
Subcellular localization determines MAP kinase signal output
A Harding, T Tian, E Westbury, E Frische, JF Hancock
Current biology 15 (9), 869-873, 2005
Stochastic delay differential equations for genetic regulatory networks
T Tian, K Burrage, PM Burrage, M Carletti
Journal of Computational and Applied Mathematics 205 (2), 696-707, 2007
A multi-scaled approach for simulating chemical reaction systems
K Burrage, T Tian, P Burrage
Progress in biophysics and molecular biology 85 (2-3), 217-234, 2004
The origins of cancer robustness and evolvability
T Tian, S Olson, JM Whitacre, A Harding
Integrative Biology 3 (1), 17-30, 2011
K-ras nanoclustering is subverted by overexpression of the scaffold protein galectin-3
R Shalom-Feuerstein, SJ Plowman, B Rotblat, N Ariotti, T Tian, ...
Cancer research 68 (16), 6608-6616, 2008
Simulated maximum likelihood method for estimating kinetic rates in gene expression
T Tian, S Xu, J Gao, K Burrage
Bioinformatics 23 (1), 84-91, 2007
Bistability and switching in the lysis/lysogeny genetic regulatory network of bacteriophage λ
T Tian, K Burrage
Journal of Theoretical Biology 227 (2), 229-237, 2004
Implicit Taylor methods for stiff stochastic differential equations
T Tian, K Burrage
Applied Numerical Mathematics 38 (1-2), 167-185, 2001
Parallel computing for bioinformatics and computational biology: models, enabling technologies, and case studies
AY Zomaya
John Wiley & Sons, 2006
The composite Euler method for stiff stochastic differential equations
K Burrage, T Tian
Journal of computational and applied mathematics 131 (1-2), 407-426, 2001
Stochastic neural network models for gene regulatory networks
T Tian, K Burrage
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 162-169, 2003
A note on the stability properties of the Euler methods for solving stochastic differential equations
K Burrage, T Tian
New Zealand J. Math 29 (2), 115-127, 2000
Mathematical modeling of K-Ras nanocluster formation on the plasma membrane
T Tian, SJ Plowman, RG Parton, Y Kloog, JF Hancock
Biophysical journal 99 (2), 534-543, 2010
Two-stage stochastic Runge-Kutta methods for stochastic differential equations
TH Tian, K Burrage
BIT Numerical Mathematics 42 (3), 625-643, 2002
Implicit stochastic Runge–Kutta methods for stochastic differential equations
K Burrage, T Tian
BIT Numerical Mathematics 44 (1), 21-39, 2004
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