Effects of data transformation and model selection on feature importance in microbiome classification data
Abstract Background Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity pres...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
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| Series: | Microbiome |
| Online Access: | https://doi.org/10.1186/s40168-024-01996-6 |
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