Year |
Citation |
Score |
2020 |
Song G, Tian T, Zhang X. A mathematical model of cell-mediated immune response to tumor. Mathematical Biosciences and Engineering : Mbe. 18: 373-385. PMID 33525097 DOI: 10.3934/mbe.2021020 |
0.4 |
|
2020 |
Yan Y, Wu B, Tian T, Zhang H. Development of Stock Networks Using Part Mutual Information and Australian Stock Market Data. Entropy (Basel, Switzerland). 22. PMID 33286545 DOI: 10.3390/e22070773 |
0.32 |
|
2020 |
Zhang H, Chen J, Tian T. Bayesian inference of stochastic dynamic models using early-rejection methods based on sequential stochastic simulations. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 33216717 DOI: 10.1109/TCBB.2020.3039490 |
0.64 |
|
2020 |
Wu S, Cui T, Zhang X, Tian T. A non-linear reverse-engineering method for inferring genetic regulatory networks. Peerj. 8: e9065. PMID 32391205 DOI: 10.7717/peerj.9065 |
0.32 |
|
2019 |
Li L, Tian T, Zhang X. Stochastic modelling of multistage carcinogenesis and progression of human lung cancer. Journal of Theoretical Biology. PMID 31299333 DOI: 10.1016/j.jtbi.2019.07.006 |
0.36 |
|
2018 |
Deng Z, Zhang X, Tian T. Inference of model parameters using particle filter algorithm and Copula distributions. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 30418916 DOI: 10.1109/TCBB.2018.2880974 |
0.52 |
|
2018 |
Guo X, Zhang H, Tian T. Development of stock correlation networks using mutual information and financial big data. Plos One. 13: e0195941. PMID 29668715 DOI: 10.1371/journal.pone.0195941 |
0.36 |
|
2017 |
Li L, Tian T, Zhang X. Mutation Mechanisms of Human Breast Cancer. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 29265879 DOI: 10.1089/cmb.2017.0111 |
0.36 |
|
2017 |
Sun S, Klebaner F, Tian T. Mathematical modelling for variations of inbreeding populations fitness with single and polygenic traits. Bmc Genomics. 18: 196. PMID 28361703 DOI: 10.1186/s12864-017-3492-1 |
0.52 |
|
2017 |
Tian T, Song J. Inference Method for Developing Mathematical Models of Cell Signaling Pathways Using Proteomic Datasets. Methods in Molecular Biology (Clifton, N.J.). 1526: 329-344. PMID 27896750 DOI: 10.1007/978-1-4939-6613-4_18 |
0.36 |
|
2016 |
Tian T. Bayesian Computation Methods for Inferring Regulatory Network Models Using Biomedical Data. Advances in Experimental Medicine and Biology. 939: 289-307. PMID 27807752 DOI: 10.1007/978-981-10-1503-8_12 |
1 |
|
2016 |
Wu Q, Tian T. Stochastic modeling of biochemical systems with multistep reactions using state-dependent time delay. Scientific Reports. 6: 31909. PMID 27553753 DOI: 10.1038/srep31909 |
0.64 |
|
2016 |
Jiang F, Yang H, Tian T. Stability analysis for second-order stochastic neutral partial functional systems subject to infinite delays and impulses Advances in Difference Equations. 2016. DOI: 10.1186/s13662-016-0951-y |
0.32 |
|
2015 |
Sun S, Klebaner F, Tian T. A new approach for estimating probability of metastasis at diagnosis Proceedings - 2015 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2015. 653-656. DOI: 10.1109/BIBM.2015.7359762 |
0.4 |
|
2014 |
Tian T. Simplified stochastic models with time delay for studying the degradation process of mRNA molecules International Journal of Data Mining and Bioinformatics. 10: 18-32. PMID 25757252 DOI: 10.1504/IJDMB.2014.062891 |
1 |
|
2014 |
Tian T, Harding A. How MAP kinase modules function as robust, yet adaptable, circuits. Cell Cycle (Georgetown, Tex.). 13: 2379-90. PMID 25483189 DOI: 10.4161/cc.29349 |
0.48 |
|
2014 |
Wu Q, Smith-Miles K, Tian T. Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. Bmc Bioinformatics. 15: S3. PMID 25473744 DOI: 10.1186/1471-2105-15-S12-S3 |
0.44 |
|
2014 |
Deng Z, Tian T. A continuous optimization approach for inferring parameters in mathematical models of regulatory networks Bmc Bioinformatics. 15. PMID 25070047 DOI: 10.1186/1471-2105-15-256 |
0.44 |
|
2014 |
Tian T, Smith-Miles K. Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell Bmc Systems Biology. 8. PMID 24565335 DOI: 10.1186/1752-0509-8-S1-S8 |
0.44 |
|
2014 |
Tian T, Singhana B, Englade-Franklin LE, Zhai X, Lee TR, Garno JC. Surface assembly and nanofabrication of 1,1,1-tris(mercaptomethyl)heptadecane on Au(111) studied with time-lapse atomic force microscopy. Beilstein Journal of Nanotechnology. 5: 26-35. PMID 24455459 DOI: 10.3762/Bjnano.5.3 |
0.32 |
|
2014 |
Wu F, Yin GG, Tian T. Gene regulatory networks driven by intrinsic noise with two-time scales: a stochastic averaging approach Frontiers of Mathematics in China. 9: 947-963. DOI: 10.1007/S11464-014-0404-4 |
0.36 |
|
2013 |
Tian T. Chemical Memory Reactions Induced Bursting Dynamics in Gene Expression Plos One. 8. PMID 23349679 DOI: 10.1371/journal.pone.0052029 |
1 |
|
2013 |
Zong X, Wu F, Tian T. Stability and stochastic stabilization of numerical solutions of regime-switching jump diffusion systems Journal of Difference Equations and Applications. 19: 1733-1757. DOI: 10.1080/10236198.2013.774388 |
0.4 |
|
2012 |
Tian T, Song J. Mathematical modelling of the MAP kinase pathway using proteomic datasets Plos One. 7. PMID 22905119 DOI: 10.1371/journal.pone.0042230 |
0.56 |
|
2012 |
Wang J, Tian T. Effective non-linear methods for inferring genetic regulation from time-series microarray gene expression data Methods in Molecular Biology. 802: 235-246. PMID 22130884 DOI: 10.1007/978-1-61779-400-1_15 |
0.44 |
|
2011 |
Tian T. Stochastic dynamics of a Hepatitis B virus transmission model Itme 2011 - Proceedings: 2011 Ieee International Symposium On It in Medicine and Education. 1: 496-500. DOI: 10.1109/ITiME.2011.6130884 |
1 |
|
2011 |
Tian T. Stochastic models for studying the degradation of mRNA molecules Proceedings - 2011 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2011. 167-172. DOI: 10.1109/BIBM.2011.100 |
1 |
|
2011 |
Tian T. Stochastic Modeling of Gene Regulatory Networks Applied Statistics For Network Biology: Methods in Systems Biology. 1: 13-37. DOI: 10.1002/9783527638079.ch2 |
1 |
|
2010 |
Wang J, Tian T. Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53 Bmc Bioinformatics. 11. PMID 20085646 DOI: 10.1186/1471-2105-11-36 |
0.56 |
|
2010 |
Tian T. Stochastic models for inferring genetic regulation from microarray gene expression data Biosystems. 99: 192-200. PMID 19945503 DOI: 10.1016/j.biosystems.2009.11.002 |
0.96 |
|
2009 |
Tian T. Estimation of kinetic rates of MAP kinase activation from experimental data Proceedings - 2009 International Joint Conference On Bioinformatics, Systems Biology and Intelligent Computing, Ijcbs 2009. 457-462. DOI: 10.1109/IJCBS.2009.78 |
0.92 |
|
2008 |
Shalom-Feuerstein R, Plowman SJ, Rotblat B, Ariotti N, Tian T, Hancock JF, Kloog Y. K-ras nanoclustering is subverted by overexpression of the scaffold protein galectin-3. Cancer Research. 68: 6608-16. PMID 18701484 DOI: 10.1158/0008-5472.CAN-08-1117 |
0.36 |
|
2007 |
Tian T, Xu S, Gao J, Burrage K. Simulated maximum likelihood method for estimating kinetic rates in gene expression. Bioinformatics (Oxford, England). 23: 84-91. PMID 17068087 DOI: 10.1093/bioinformatics/btl552 |
0.4 |
|
2006 |
Barrio M, Burrage K, Leier A, Tian T. Oscillatory regulation of Hes1: Discrete stochastic delay modelling and simulation. Plos Computational Biology. 2: e117. PMID 16965175 DOI: 10.1371/journal.pcbi.0020117 |
0.32 |
|
2006 |
Tian T, Burrage K. Stochastic models for regulatory networks of the genetic toggle switch Proceedings of the National Academy of Sciences of the United States of America. 103: 8372-8377. PMID 16714385 DOI: 10.1073/pnas.0507818103 |
0.6 |
|
2005 |
Harding A, Tian T, Westbury E, Frische E, Hancock JF. Subcellular localization determines MAP kinase signal output. Current Biology : Cb. 15: 869-73. PMID 15886107 DOI: 10.1016/j.cub.2005.04.020 |
0.36 |
|
2004 |
Tian T, Burrage K. Binomial leap methods for simulating stochastic chemical kinetics. The Journal of Chemical Physics. 121: 10356-64. PMID 15549913 DOI: 10.1063/1.1810475 |
0.68 |
|
2004 |
Burrage K, Tian T, Burrage P. A multi-scaled approach for simulating chemical reaction systems. Progress in Biophysics and Molecular Biology. 85: 217-34. PMID 15142745 DOI: 10.1016/j.pbiomolbio.2004.01.014 |
0.6 |
|
2004 |
Tian T, Burrage K. Bistability and switching in the lysis/lysogeny genetic regulatory network of bacteriophage λ Journal of Theoretical Biology. 227: 229-237. PMID 14990387 DOI: 10.1016/j.jtbi.2003.11.003 |
0.6 |
|
2004 |
Burrage K, Tian T. Effective simulation techniques for biological systems Proceedings of Spie - the International Society For Optical Engineering. 5467: 311-325. DOI: 10.1117/12.548672 |
0.64 |
|
2004 |
Tian T, Burrage K. Binomial leap methods for simulating stochastic chemical kinetics Journal of Chemical Physics. 121: 10356-10364. DOI: 10.1063/1.1810475 |
0.44 |
|
2004 |
Burrage K, Tian T. Implicit stochastic Runge-Kutta methods for stochastic differential equations Bit Numerical Mathematics. 44: 21-39. DOI: 10.1023/B:BITN.0000025089.50729.0f |
0.64 |
|
2003 |
Tian T, Burrage K. Stochastic neural network models for gene regulatory networks 2003 Congress On Evolutionary Computation, Cec 2003 - Proceedings. 1: 162-169. DOI: 10.1109/CEC.2003.1299570 |
0.4 |
|
2002 |
Burrage K, Tian T. Predictor-corrector methods of Runge-Kutta type for stochastic differential equations Siam Journal On Numerical Analysis. 40: 1516-1537. DOI: 10.1137/S0036142900372677 |
0.6 |
|
2001 |
Burrage K, Tian T. The composite Euler method for stiff stochastic differential equations Journal of Computational and Applied Mathematics. 131: 407-426. DOI: 10.1016/S0377-0427(00)00259-4 |
0.68 |
|
2001 |
Tian T, Burrage K. Implicit Taylor methods for stiff stochastic differential equations Applied Numerical Mathematics. 38: 167-185. DOI: 10.1016/S0168-9274(01)00034-4 |
0.72 |
|
2001 |
Burrage K, Tian T. Stiffly accurate Runge-Kutta methods for stiff stochastic differential equations Computer Physics Communications. 142: 186-190. DOI: 10.1016/S0010-4655(01)00324-1 |
0.52 |
|
2000 |
Burrage K, Tian T. Parallel half-block methods for initial value problems Applied Numerical Mathematics. 32: 255-271. DOI: 10.1016/S0168-9274(99)00027-6 |
0.56 |
|
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