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Score Matching for Differential Abundance Testing of Compositional High-Throughput Sequencing Data.

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Title: Score Matching for Differential Abundance Testing of Compositional High-Throughput Sequencing Data.
Authors: Ostner J; Computational Health Center, Helmholtz Munich, Neuherberg, Germany.; Institut für Statistik, Ludwig-Maximilians-Universität München, Munich, Germany., Li H; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA., Müller CL; Computational Health Center, Helmholtz Munich, Neuherberg, Germany.; Institut für Statistik, Ludwig-Maximilians-Universität München, Munich, Germany.; Center for Computational Mathematics, Flatiron Institute, New York, New York, USA.
Source: Statistics in medicine [Stat Med] 2026 Apr; Vol. 45 (8-9), pp. e70534.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ostner+J%22">Ostner J</searchLink>; Computational Health Center, Helmholtz Munich, Neuherberg, Germany.; Institut für Statistik, Ludwig-Maximilians-Universität München, Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Müller+CL%22">Müller CL</searchLink>; Computational Health Center, Helmholtz Munich, Neuherberg, Germany.; Institut für Statistik, Ludwig-Maximilians-Universität München, Munich, Germany.; Center for Computational Mathematics, Flatiron Institute, New York, New York, USA.
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        Value: 10.1002/sim.70534
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      – TitleFull: Score Matching for Differential Abundance Testing of Compositional High-Throughput Sequencing Data.
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              Text: 2026 Apr
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              Y: 2026
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