Granger causality vs. dynamic Bayesian network inference: a comparative study [PDF]
BMC Bioinformatics, 2009 Background In computational biology, one often faces the problem of deriving the causal relationship among different elements such as genes, proteins, metabolites, neurons and so on, based upon multi-dimensional temporal data.
Feng Jianfeng, Zou Cunlu
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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 +2 more
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Dynamic Bayesian Networks in system reliability analysis [PDF]
IFAC Proceedings Volumes, 2006 Today industrial systems are characterized by a set of dependencies among the components and the environment of the system. To address these difficulties, this paper presents a method for modelling and analyzing the reliability of a complex system based on Dynamic Bayesian Networks (DBN). This method allows to take into account the influence of time or
Abdeljabbar Ben Salem +2 more
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A dynamic Bayesian network model for predicting organ failure associations without predefining outcomes. [PDF]
PLoS One, 2021 De Blasi RA, Campagna G, Finazzi S.
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BDDN: bayesian dynamic differential network analysis in cancer proteomics [PDF]
BMC BioinformaticsMotivation 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 +4 more
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A novel dynamic Bayesian network approach for data mining and survival data analysis. [PDF]
BMC Med Inform Decis Mak, 2022 Sheidaei A +3 more
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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
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Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network. [PDF]
R Soc Open Sci, 2018 Li Z, Xu T, Gu J, Dong Q, Fu L.
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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
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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 +4 more
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