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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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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
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View/Download:86/0
  |  
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
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View/Download:78/0
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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
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View/Download:90/0
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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
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View/Download:127/0
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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
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View/Download:136/0
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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
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View/Download:75/0
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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
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View/Download:103/0
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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
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Submit date:2018/07/30
censored survival data
frailty models
general parameter families
Markov chain Monte Carlo methods
stochastic approximation