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TimeNorm: a novel normalization method for time course microbiome data.

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第一作者： Qianwen,Luo

第一单位： Department of Biosystems Engineering, University of Arizona, Tucson, AZ, United States.

作者： Qianwen,Luo ^[1] ; Meng,Lu ^[2] ; Hamza,Butt ^[3] ; Nicholas,Lytal ^[4] ; Ruofei,Du ^[5] ; Hongmei,Jiang ^[6] ; Lingling,An ^[7]

作者单位： Department of Biosystems Engineering, University of Arizona, Tucson, AZ, United States. ^[1] Graduate Interdisciplinary Program in Statistics and Data Science, University of Arizona, Tucson, AZ, United States. ^[2] Department of Biostatistics and Epidemiology, University of Arizona, Tucson, AZ, United States. ^[3] Department of Mathematics and Statistics, California State University at Chico, Chico, CA, United States. ^[4] Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, United States. ^[5] Department of Statistics and Data Science, Northwestern University, Evanston, IL, United States. ^[6] Department of Biosystems Engineering, University of Arizona, Tucson, AZ, United States.;Graduate Interdisciplinary Program in Statistics and Data Science, University of Arizona, Tucson, AZ, United States.;Department of Biostatistics and Epidemiology, University of Arizona, Tucson, AZ, United States. ^[7]

关键词 dominant features longitudinal metagenomics microbiome normalization time-course

DOI 10.3389/fgene.2024.1417533

PMID 39381141

发布时间 2024-10-10

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