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BiTSC2: Bayesian inference of tumor clonal tree by joint analysis of single-cell SNV and CNA data 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 页码: 12
Authors:  Chen, Ziwei;  Gong, Fuzhou;  Wan, Lin;  Ma, Liang
Favorite  |  View/Download:43/0  |  Submit date:2022/06/21
single-cell DNA sequencing  intra-tumor heterogeneity  single nucleotide variation  copy number alteration  Bayesian modeling  cancer evolution  
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS* 期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download:41/0  |  Submit date:2022/04/02
Bayesian inverse problems  Deep neural network  Markov chain Monte Carlo  
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download:63/0  |  Submit date:2021/01/14
Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download:96/0  |  Submit date:2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
Bayesian Neural Networks for Selection of Drug Sensitive Genes 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 523, 页码: 955-972
Authors:  Liang, Faming;  Li, Qizhai;  Zhou, Lei
Favorite  |  View/Download:95/0  |  Submit date:2018/11/16
Cancer cell line encyclopedia  Nonlinear variable selection  Omics data  OpenMP  Parallel Markov chain Monte Carlo  
Two noniterative algorithms for computing posteriors 期刊论文
COMPUTATIONAL STATISTICS, 2008, 卷号: 23, 期号: 3, 页码: 443-453
Authors:  Yang, Jun;  Zou, Guohua;  Zhao, Yu
Favorite  |  View/Download:57/0  |  Submit date:2018/07/30
Bayesian computation  data augmentation  EM algorithm  inverse Bayes formula  sampling/importance resampling  PMDA-Exact  
A baseline-free procedure for transformation models under interval censorship 期刊论文
LIFETIME DATA ANALYSIS, 2005, 卷号: 11, 期号: 4, 页码: 473-488
Authors:  Gu, MG;  Sun, LQ;  Zuo, GX
Favorite  |  View/Download:78/0  |  Submit date:2018/07/30
interval censored data  marginal likelihood  Markov chain Monte Carlo methods  semiparametric models  stochastic approximation  transformation models  
A universal procedure for parametric frailty models 期刊论文
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2004, 卷号: 74, 期号: 1, 页码: 1-13
Authors:  Gu, MG;  Sun, LQ;  Huang, CQ
Favorite  |  View/Download:88/0  |  Submit date:2018/07/30
censored survival data  frailty models  general parameter families  Markov chain Monte Carlo methods  stochastic approximation