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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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| Серія: | Computational and Structural Biotechnology Journal |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S200103702500296X |
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