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BMDD: A probabilistic framework for accurate imputation of zero-inflated microbiome sequencing data.
Microbiome sequencing data are inherently sparse and compositional, with excessive zeros arising from biological absence or insufficient sampling. These zeros pose significant challenges for downstream analyses, particularly those that require log-transformation. We introduce BMDD (BiModal Dirichlet...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2025-10-01
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| Colecção: | PLoS Computational Biology |
| Acesso em linha: | https://doi.org/10.1371/journal.pcbi.1013124 |
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