Information enhanced model selection for Gaussian graphical model with application to metabolomic data.

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作者： Jie,Zhou ^[1] ; Anne G,Hoen ^[2] ; Susan,Mcritchie ^[3] ; Wimal,Pathmasiri ^[3] ; Weston D,Viles ^[4] ; Quang P,Nguyen ^[5] ; Juliette C,Madan ^[6] ; Erika,Dade ^[6] ; Margaret R,Karagas ^[6] ; Jiang,Gui ^[7]

作者单位： Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, 3 Rope Ferry Road, Hanover, NH 03755, USA. ^[1] Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA and Depatment of Epidemiology, Geisel School of Medicine, Dartmouth College, 3 Rope Ferry Road, Hanover, NH 03755, USA. ^[2] Nutrition Research Institute, Department of Nutrition, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, 500 Laureate Way, Kannapolis, NC 28081, USA. ^[3] Department of Mathematics and Statistics, University of Southern Maine, 96 Falmouth St, Portland, ME 04103, USA. ^[4] Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA and Depatment of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. ^[5] Depatment of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. ^[6] Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. ^[7]

关键词 Chow–Liu algorithm Metabolite pathway analysis Model pool Prior structure Structural BIC Structure learning algorithm Two-step algorithm Undirected Gaussian graphical model

主题词算法(Algorithms);贝叶斯定理(Bayes Theorem);队列研究(Cohort Studies);基因表达谱(Gene Expression Profiling);人类(Humans);正态分布(Normal Distribution)

DOI 10.1093/biostatistics/kxab006

PMID 33720330

发布时间 2023-11-14

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