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2020 – today
- 2024
[j42]Shaoli Wang, Tengfei Wang, Xiyan Bai, Shaoping Ji, Tianhai Tian
:
Bistability and Bifurcations of Tumor Dynamics with Immune Escape and the Chimeric Antigen Receptor T-Cell Therapy. Int. J. Bifurc. Chaos 34(2): 2450015:1-2450015:19 (2024)- [j41]Sijia Yang, Shunjie Chen, Pei Wang, Aimin Chen, Tianhai Tian:
TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data. IEEE J. Biomed. Health Informatics 28(1): 526-537 (2024) - 2023
- [j40]Feng Jiang, Qiannan Zhu, Tianhai Tian:
An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality. Expert Syst. Appl. 222: 119823 (2023) - [j39]Feng Jiang, Qiannan Zhu, Tianhai Tian:
Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting. Neural Process. Lett. 55(4): 3631-3654 (2023) - [c26]Yan Yan, Xinan Zhang, Tianhai Tian:
Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters. BIBM 2023: 3848-3854 - [c25]Aimin Chen, Tianshou Zhou, Tianhai Tian:
Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation. ICCMS 2023: 22-27 - 2022
- [j38]Feng Jiang, Qiannan Zhu, Jiawei Yang, Guici Chen, Tianhai Tian:
Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network. Appl. Soft Comput. 129: 109602 (2022) - [j37]Yan Yan, Feng Jiang, Xinan Zhang, Tianhai Tian:
Inference of Molecular Regulatory Systems Using Statistical Path-Consistency Algorithm. Entropy 24(5): 693 (2022) - [j36]Muzi Chen, Hongjiong Tian, Boyao Wu, Tianhai Tian:
The Linear Relationship Model with LASSO for Studying Stock Networks. Entropy 24(6): 808 (2022) - [j35]Ge Song, Guizhen Liang, Tianhai Tian, Xinan Zhang:
Mathematical Modeling and Analysis of Tumor Chemotherapy. Symmetry 14(4): 704 (2022) - [j34]Hu Zhang, Jingsong Chen, Tianhai Tian:
Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1484-1494 (2022) - [j33]Lingling Li, Ting Zhao, Xingshi He, Xinshe Yang, Tianhai Tian, Xinan Zhang:
Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer. Theory Biosci. 141(3): 261-272 (2022) - [j32]Liuyong Pang, Sanhong Liu, Zhong Zhao, Tianhai Tian, Xinan Zhang, Qiuying Li:
Growth dynamics of breast cancer stem cells: effects of self-feedback and EMT mechanisms. Theory Biosci. 141(3): 297-311 (2022) - 2021
- [j31]Sutimin, Karunia Putra Wijaya, Joseph Páez Chávez, Tianhai Tian:
An in-host HIV-1 infection model incorporating quiescent and activated CD4+ T cells as well as CTL response. Appl. Math. Comput. 409: 126410 (2021) - [j30]Luyang Tang, Bangke Lu, Tianhai Tian:
Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China. Entropy 23(12): 1575 (2021) - [j29]Jiangyong Wei, Tianshou Zhou, Xinan Zhang, Tianhai Tian:
DTFLOW: Inference and Visualization of Single-cell Pseudotime Trajectory Using Diffusion Propagation. Genom. Proteom. Bioinform. 19(2): 306-318 (2021) - [j28]Yan Yan, Feng Jiang, Xinan Zhang, Tianhai Tian:
Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data. Symmetry 13(6): 1097 (2021) - [j27]Jiaming Zhang, Hanwen Ning, Xingjian Jing, Tianhai Tian:
Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1920-1934 (2021) - [c24]Wenlong He, Peng Xia, Xinan Zhang, Tianhai Tian:
A Bayesian framework for inferring heterogeneity of cellular processes using single-cell data. BIBM 2021: 2142-2146 - 2020
- [j26]Yan Yan, Boyao Wu, Tianhai Tian, Hu Zhang:
Development of Stock Networks Using Part Mutual Information and Australian Stock Market Data. Entropy 22(7): 773 (2020) - [j25]Liuyong Pang, Sanhong Liu, Xinan Zhang, Tianhai Tian:
Mathematical modeling and dynamic analysis of anti-tumor immune response. J. Appl. Math. Comput. 62(1-2): 473-488 (2020) - [j24]Hanwen Ning, Jiaming Zhang, Ting-Ting Feng, Eric King-Wah Chu, Tianhai Tian:
Control-based algorithms for high dimensional online learning. J. Frankl. Inst. 357(3): 1909-1942 (2020) - [j23]Zhimin Deng, Xinan Zhang, Tianhai Tian:
Inference of Model Parameters Using Particle Filter Algorithm and Copula Distributions. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1231-1240 (2020) - [c23]Seyed Soheil Hosseini, Nick Wormald, Tianhai Tian:
Optimal Tree of a Complete Weighted Graph. WCO@FedCSIS 2020: 203-219 - [c22]Seyed Soheil Hosseini, Nick Wormald, Tianhai Tian:
On Finding the Optimal Tree of a Complete Weighted Graph. FedCSIS 2020: 271-275 - [c21]Yan Yan, Xinan Zhang, Tianhai Tian:
Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual Information. ICIC (2) 2020: 45-56
2010 – 2019
- 2019
- [j22]Hanwen Ning, Jiaming Zhang, Xingjian Jing, Tianhai Tian:
Robust Online Learning Method Based on Dynamical Linear Quadratic Regulator. IEEE Access 7: 117780-117795 (2019) - [j21]Feng Jiang, Jiaqi He, Tianhai Tian:
A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction. Appl. Soft Comput. 85 (2019) - [j20]Jiangyong Wei, Tianshou Zhou, Xinan Zhang, Tianhai Tian:
SCOUT: A new algorithm for the inference of pseudo-time trajectory using single-cell data. Comput. Biol. Chem. 80: 111-120 (2019) - [j19]Liuyong Pang, Sanhong Liu, Xinan Zhang, Tianhai Tian:
The Cost-Effectiveness Analysis and Optimal Strategy of the Tobacco Control. Comput. Math. Methods Medicine 2019: 8189270:1-8189270:15 (2019) - [j18]Hanwen Ning, Guangyan Qing, Tianhai Tian, Xing Jian Jing:
Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method. IEEE Trans. Neural Networks Learn. Syst. 30(2): 389-404 (2019) - 2018
- [j17]Lingling Li, Tianhai Tian, Xinan Zhang:
Mutation Mechanisms of Human Breast Cancer. J. Comput. Biol. 25(4): 396-404 (2018) - [j16]Tianhai Tian, Jingshan Huang:
Guest Editorial for Special Section on BIBM 2015. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1752-1753 (2018) - [c20]Siyuan Wu, Tiangang Cui, Tianhai Tian:
Mathematical Modelling of Genetic Network for Regulating the Fate Determination of Hematopoietic Stem Cells. BIBM 2018: 2167-2173 - [c19]Yan Yan, Jiangyong Wei, Xiaohua Hu, Tianhai Tian:
Inference of protein-protein networks for triple-negative breast cancer using single-patient proteomic data. BIBM 2018: 2174-2181 - [c18]Xue Guo, Hu Zhang, Feng Jiang, Tianhai Tian:
Development of Stock Correlation Network Models Using Maximum Likelihood Method and Stock Big Data. BigComp 2018: 455-461 - 2017
- [j15]Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
Mathematical modelling for variations of inbreeding populations fitness with single and polygenic traits. BMC Genom. 18(S2) (2017) - [c17]Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
Mathematical model for pancreatic cancer progression using non-constant gene mutation rate. BIBM 2017: 138-141 - 2016
- [c16]Yadong Wang, Kevin Burrage, Yunlong Liu, Shinichi Morishita, Tianhai Tian, Qinghua Jiang, Jiangning Song, Guohua Wang, Qian Zhu, Xiaohua Tony Hu:
Preface. BIBM 2016: 1-2 - [c15]Jiangyong Wei, Xiaohua Hu, Xiufen Zou, Tianhai Tian:
Inference of genetic regulatory network for stem cell using single cells expression data. BIBM 2016: 217-222 - [c14]Zhimin Deng, Xingan Zhang, Tianhai Tian:
Copula particle filter algorithm for inferring parameters of regulatory network models with noisy observation data. BIBM 2016: 570-575 - [c13]Yanli Zhou, Xiangyu Ge, Yonghong Wu, Tianhai Tian:
Inference of Term Structure Models. IIKI 2016: 553-558 - [e1]Tianhai Tian, Qinghua Jiang, Yunlong Liu, Kevin Burrage, Jiangning Song, Yadong Wang, Xiaohua Hu, Shinichi Morishita, Qian Zhu, Guohua Wang:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016, Shenzhen, China, December 15-18, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-1611-2 [contents] - 2015
- [j14]Qianqian Wu, Feng Jiang, Tianhai Tian:
Sensitivity and Robustness Analysis for Stochastic Model of Nanog Gene Regulatory Network. Int. J. Bifurc. Chaos 25(7): 1540009:1-1540009:14 (2015) - [c12]Junbai Wang, Qianqian Wu, Tianhai Tian:
Integrated study to infer dynamic protein-gene interactions in human p53 regulatory networks. BIBM 2015: 273-276 - [c11]Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
A new approach for estimating probability of metastasis at diagnosis. BIBM 2015: 653-656 - [c10]Tongtong Dong, Bowei Yang, Tianhai Tian:
Volatility Analysis of Chinese Stock Market Using High-Frequency Financial Big Data. SmartCity 2015: 769-774 - 2014
- [j13]Zhimin Deng, Tianhai Tian:
A continuous optimization approach for inferring parameters in mathematical models of regulatory networks. BMC Bioinform. 15: 256 (2014) - [j12]Qianqian Wu, Kate Smith-Miles, Tianhai Tian:
Approximate Bayesian computation schemes for parameter inference of discrete stochastic models using simulated likelihood density. BMC Bioinform. 15(S-12): S3 (2014) - [j11]Tianhai Tian, Kate Smith-Miles:
Mathematical modeling of GATA-switching for regulating the differentiation of hematopoietic stem cell. BMC Syst. Biol. 8(S-1): S8 (2014) - [j10]Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
A new model of time scheme for progression of colorectal cancer. BMC Syst. Biol. 8(S-3): S2 (2014) - [j9]Tianhai Tian:
Simplified stochastic models with time delay for studying the degradation process of mRNA molecules. Int. J. Data Min. Bioinform. 10(1): 18-32 (2014) - [c9]Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
A New Mathematical Model for Inbreeding Depression in Large Populations. ISBRA 2014: 310-321 - 2013
- [j8]Qianqian Wu, Kate Smith-Miles, Tianshou Zhou, Tianhai Tian:
Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model. BMC Syst. Biol. 7(S-4): S14 (2013) - [j7]Bairong Shen, Hong-Bin Shen, Tianhai Tian, Qiang Lü, Guang Hu:
Translational Bioinformatics and Computational Systems Medicine. Comput. Math. Methods Medicine 2013: 375641:1-375641:2 (2013) - [c8]Qianqian Wu, Kate Smith-Miles, Tianhai Tian:
Approximate Bayesian computation for estimating rate constants in biochemical reaction systems. BIBM 2013: 416-421 - [c7]Shuhao Sun, Fima C. Klebaner, Tianhai Tian:
A new mathematical model for progression of colorectal cancer. BIBM 2013: 560-565 - 2012
- [c6]Qianqian Wu, Kate Smith-Miles, Tianhai Tian:
A two-variable model for stochastic modelling of chemical events with multi-step reactions. BIBM 2012: 1-6 - 2011
- [c5]Tianhai Tian:
Stochastic Models for Studying the Degradation of mRNA Molecules. BIBM 2011: 167-172 - 2010
- [j6]Tianhai Tian:
Stochastic models for inferring genetic regulation from microarray gene expression data. Biosyst. 99(3): 192-200 (2010) - [j5]Junbai Wang, Tianhai Tian:
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53. BMC Bioinform. 11: 36 (2010) - [j4]Meihong Qiao, Huan Qi, Tianhai Tian:
Steady State Solution and Stability of an Age-Structured MSIQR Epidemic Model. Intell. Inf. Manag. 2(5): 316-324 (2010)
2000 – 2009
- 2009
- [c4]Tianhai Tian:
Estimation of Kinetic Rates of MAP Kinase Activation from Experimental Data. IJCBS 2009: 457-462 - 2007
- [j3]Tianhai Tian, Songlin Xu, Junbin Gao, Kevin Burrage:
Simulated maximum likelihood method for estimating kinetic rates in gene expression. Bioinform. 23(1): 84-91 (2007) - 2006
- [j2]Manuel Barrio, Kevin Burrage, André Leier, Tianhai Tian:
Oscillatory Regulation of Hes1: Discrete Stochastic Delay Modelling and Simulation. PLoS Comput. Biol. 2(9) (2006) - [c3]Kevin Burrage, Shev Mac, Tianhai Tian:
Accelerated Leap Methods for Simulating Discrete Stochastic Chemical Kinetics. POSTA 2006: 359-366 - 2005
- [c2]Tianhai Tian, Kevin Burrage:
A Mathematical Model for Genetic Regulation of the Lactose Operon. ICCSA (2) 2005: 1245-1253 - 2003
- [c1]Tianhai Tian, Kevin Burrage:
Stochastic neural network models for gene regulatory networks. IEEE Congress on Evolutionary Computation 2003: 162-169 - 2002
- [j1]Kevin Burrage, Tianhai Tian:
Predictor-Corrector Methods of Runge-Kutta Type for Stochastic Differential Equations. SIAM J. Numer. Anal. 40(4): 1516-1537 (2002)
Coauthor Index
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