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gLinDA: A privacy-preserving, swarm learning toolbox for differential abundance analysis of microbiomes

Count data, such as gene expression and microbiome composition, play a significant role in various diseases, including cancer, obesity, inflammatory bowel disease, and mental health disorders. For instance, understanding the differences in microbial abundance between patients is essential for uncove...

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Auteurs principaux: Leon Fehse, Mohammad Tajabadi, Roman Martin, Hajo Holzmann, Dominik Heider
Format: Artigo
Langue:Inglês
Publié: American Association for the Advancement of Science (AAAS) 2025-01-01
Collection:Computational and Structural Biotechnology Journal
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Accès en ligne:http://www.sciencedirect.com/science/article/pii/S200103702500296X
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