MeTEor: an R Shiny app for exploring longitudinal metabolomics data.

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第一作者： Gordon,Grabert

第一单位： Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of Technische Universität Braunschweig and Hannover Medical School, Braunschweig, Lower Saxony 38106, Germany.;Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Lower Saxony 38106, Germany.

作者： Gordon,Grabert ^[1] ; Daniel,Dehncke ^[1] ; Tushar,More ^[2] ; Markus,List ^[3] ; Anke R M,Kraft ^[4] ; Markus,Cornberg ^[4] ; Karsten,Hiller ^[2] ; Tim,Kacprowski ^[1]

作者单位： Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of Technische Universität Braunschweig and Hannover Medical School, Braunschweig, Lower Saxony 38106, Germany.;Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Lower Saxony 38106, Germany. ^[1] Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig, Lower Saxony 38106, Germany.;Department of Bioinformatics and Biochemistry, BRICS, Technische Universität Braunschweig, Braunschweig, Lower Saxony 38106, Germany. ^[2] Data Science in Systems Biology, School of Life Sciences, Technical University of Munich, Munich, Bavaria 85354, Germany. ^[3] Centre for Individualised Infection Medicine (CiiM), Joint Venture Between Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Lower Saxony 30625, Germany.;Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School (MHH), Hannover, Lower Saxony 30625, Germany.;German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Hannover, Lower Saxony 38124, Germany. ^[4]

DOI 10.1093/bioadv/vbae178

PMID 39659589

发布时间 2024-12-12

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Bioinformatics advances

2024年4卷1期

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MeTEor: an R Shiny app for exploring longitudinal metabolomics data.

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MeTEor: an R Shiny app for exploring longitudinal metabolomics data.

Bioinformatics advances

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Bioinformatics advances

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