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Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an improved Markov Monte Carlo sampling [PDF]

BMC Bioinformatics, 2023
A nonhomogeneous dynamic Bayesian network model, which combines the dynamic Bayesian network and the multi-change point process, solves the limitations of the dynamic Bayesian network in modeling non-stationary gene expression data to a certain extent ...
Jiayao Zhang, Chunling Hu, Qianqian Zhang   +2 more
doaj   +2 more sources

Survey of Research on Non-homogeneous Gene Regulatory Network Models [PDF]

Jisuanji kexue yu tansuo, 2023
In the field of bioinformatics, the construction of gene regulatory networks is crucial. In recent years, non-homogeneous dynamic Bayesian networks have become a common modeling tool for learning gene regulatory networks from gene expression time-series ...
ZHANG Qianqian, HU Chunling, ZHANG Jiayao, LI Dawei, SHAO Mingyi
doaj   +1 more source

Traffic condition prediction for highway within work zones under dynamic traffic organization changes. [PDF]

PLoS ONE
In the context of sustainable transportation development, reducing carbon emissions, energy waste, and noise pollution caused by traffic congestion has become an urgent task for achieving environmental and social sustainability. The key to this goal lies
Feiping Xu, Bohan Liu, Hang Liu, Yonghao Wang, Jundong Wang, Chengcheng Wang   +5 more
doaj   +2 more sources

Operational effectiveness evaluation method of space-based information support equipment system based on DBN [PDF]

Zhihui kongzhi yu fangzhen, 2023
In order to solve the problem of dynamic evaluation of operational effectiveness of space-based information support equipment system, this paper presents a method of operational effectiveness evaluation of space-based information support equipment system
YU Xiaolan, XIONG Wei
doaj   +1 more source

BDDN: bayesian dynamic differential network analysis in cancer proteomics [PDF]

BMC Bioinformatics
Motivation Cancer progression and treatment responses are governed by intricate and dynamic molecular interactions. Although differential network analysis offers considerable potential for identifying condition-specific changes in protein-protein ...
Juan Kim, Doyeon Lee, Jina Park, Ick Hoon Jin, Min Jin Ha   +4 more
doaj   +2 more sources

Dynamic Bayesian inference method for structural fatigue crack propagation based on particle filter

Hangkong gongcheng jinzhan, 2023
Accurately predicting the fatigue crack propagation process of aircraft structure is the basis for conducting life monitoring and residual life estimation of individual aircraft.
QI Xin, LI Biao, ZHANG Teng, LI Yazhi, HE Yuting   +4 more
doaj   +1 more source

Dynamic Bayesian Network Modeling Based on Structure Prediction for Gene Regulatory Network

IEEE Access, 2021
Gene regulatory network can intuitively reflect the interaction between genes, and an in-depth study of these relationships plays a significant role in the treatment and prevention of clinical diseases.
Luxuan Qu, Zhiqiong Wang, Chan Li, Shanghui Guo, Junchang Xin, Yuezhou Zhou, Weiyiqi Wang   +6 more
doaj   +1 more source

Construction Progress Risk Assessment of El Sillar Highway Based on DBN [PDF]

Zhengzhou Daxue xuebao. Gongxue ban, 2023
Traditional Bayesian network (BN)method was difficult to ensure the dynamic assessment of construction progress risk, on the basis of analyzing the risk sources of construction progress lag, the time factor was introduced to horizontally expand the ...
ZHANG Hua, PENG Zhaohui, ZHANG Qiang, MA Mengmeng, WANG Yawei, LI Zongkun   +5 more
doaj   +1 more source

Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network [PDF]

International Journal of Advanced Computer Science and Applications, 2011
في هذا التقرير، سنكون مهتمين بشبكة بايزي الديناميكية (DBNs) كنموذج يحاول دمج البعد الزمني مع عدم اليقين. نبدأ بأساسيات شبكة بايزي الديناميكية حيث نركز بشكل خاص على مفاهيم وخوارزميات الاستدلال والتعلم. ثم سنقدم مستويات وطرقًا مختلفة لإنشاء شبكات بايزي الديناميكية بالإضافة إلى مناهج دمج البعد الزمني في شبكة بايزي الثابتة.
Nabil Ghanmi, Mohamed Ali Mahjoub, Najoua Essoukri Ben Amara   +2 more
openaire   +1 more source

A Random Traffic Assignment Model for Networks Based on Discrete Dynamic Bayesian Algorithms

Discrete Dynamics in Nature and Society, 2022
In this paper, a stochastic traffic assignment model for networks is proposed for the study of discrete dynamic Bayesian algorithms. In this paper, we study a feasible method and theoretical system for implementing traffic engineering in networks based ...
Wei Zhou
doaj   +1 more source