A/Prof Tianhai Tian

T: +61 3 99054474
E: Tianhai.Tian@monash.edu

* Monash University Researcher Profile - including biography, publications and grants
* Google Scholar

Research Overview

Mathematical modelling of complex biological systems, including genetic regulatory networks, cell signalling transduction pathways, and cancer therapy. Inference of complex networks from big data.

Selected Publications

[1] Deng, Zhimin ; Zhang, Xinan ; Tian, Tianhai. "Inference of model parameters using particle filter algorithm and Copula distributions". In: IEEE/ACM transactions on computational biology and bioinformatics. 2020 ; Vol. 17. pp.1231-1240. https://doi.org/10.1109/TCBB.2018.2880974

[2] Wang, Junbai ; Wu, Qianqian ; Hu, Xiaohua Tony ; Tian, Tianhai. "An integrated approach to infer dynamic protein-gene interactions – a case study of the human P53 protein". In: Methods. 2016 ; Vol. 110. pp. 3-13. https://doi.org/10.1016/j.ymeth.2016.08.001

[3] Tian, Tianhai ; Harding, Angus ; Inder, Kerry ; Plowman, Sarah ; Parton, Robert G ; Hancock, John F. "Plasma membrane nanoswitches generate high-fidelity Ras signal transduction". In: Nature Cell Biology. 2007 ; Vol. 9, No. 8. pp. 905 - 914.

[4] Tian, Tianhai ; Xu, Songlin ; Gao, Junbin ; Burrage, Kevin. "Simulated maximum likelihood method for estimating kinetic rates in gene expression". In: Bioinformatics. 2007 ; Vol. 23, No. 1. pp. 84 - 91.

[5] Tian, Tianhai ; Burrage, Kevin. "Stochastic models for regulatory networks of the genetic toggle switch". In: Proceedings of the National Academy of Sciences of the United States of America. 2006 ; Vol. 103, No. 22. pp. 8372 - 8377.