|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | EFFECTS OF EXISTENCE OF SEDIMENT PARTICLES ON THE ENERGY LOSS OF FLOW显示文摘EFFECTOFEXISTENCEOFSEDIMENTPARTICLESONTHEENERGYLOSSOFFLOW￥LIUQingquan;CHENLiandLIUDayou(Assoc.ResearchFellow,InstituteofMecha... | LIU Qingquan CHEN Li and LIU Dayou( ,Institute of Mechanics Chinese Academy of Sciences Beijing,P.R.China)( .,Wuhan University of Hydraulic and Electric Eng.Dept.of River Eng.Wuhan, P.R.China)( Institute of Mechanics Chinese Academy of Science,Beijing,P. | 1996 | International Journal of Sediment Research1996，11，3： | 1 |
| 2 | Double tail fin type analysis research and development显示文摘 | Zhang Dayou Zhu Tao Li Shaobo | 2006 | Marine engineering2006，，6： | 1 |
| 3 | A method of rule match conflict resolution for product configuration in manufac tttre显示文摘 | Niya Li Dayou Liu Jian Zhang Yuhua Chen | 2009 | International Journal of Computer Integrated Manufac turing2009，22，3： | 1 |
| 4 | Intelligent CPSS and its application to health care computing显示文摘The rapid development of cyber-physical systems(CPS)had a tremendous impact on human behavior and interactions.With human involvement,CPS has naturally evolved into cyberphysical social systems(CPSS)[1].The top five technology breakthroughs of 2013 were closely related to CPSS and peripherals according to Mc Kinsey’s report[2]. | Dayou LI Bo YANG Shang GAO Yungang ZHU Yong LAI | 2016 | Science China(Information Sciences)2016，59，5： | 0 |
| 5 | A Re-Parametrization-Based Bayesian Differential Analysis Algorithm for Gene Regulatory Networks Modeled with Structural Equation Models显示文摘Under different conditions,gene regulatory networks(GRNs)of the same gene set could be similar but different.The differential analysis of GRNs under different conditions is important for understanding condition-specific gene regulatory relationships.In a naive approach,existing GRN inference algorithms can be used to separately estimate two GRNs under different conditions and identify the differences between them.However,in this way,the similarities between the pairwise GRNs are not taken into account.Several joint differential analysis algorithms have been proposed recently,which were proved to outperform the naive approach apparently.In this paper,we model the GRNs under different conditions with structural equation models(SEMs)to integrate gene expression data and genetic perturbations,and re-parameterize the pairwise SEMs to form an integrated model that incorporates the differential structure.Then,a Bayesian inference method is used to make joint differential analysis by solving the integrated model.We evaluated the performance of the proposed re-parametrization-based Bayesian differential analysis(ReBDA)algorithm by running simulations on synthetic data with different settings.The performance of the ReBDA algorithm was demonstrated better than another state-of-the-art joint differential analysis algorithm for SEMs ReDNet obviously.In the end,the ReBDA algorithm was applied to make differential analysis on a real human lung gene data set to illustrate its applicability and practicability. | Yan Li Dayou Liu Yungang Zhu Jie Liu | 2020 | Computer Modeling in Engineering & Sciences2020，，7： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员