Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets
Abstract Predicting prokaryotic phenotypes—observable traits that govern functionality, adaptability, and interactions—holds significant potential for fields such as biotechnology, environmental sciences, and evolutionary biology. In this study, we leverage machine learning to explore the relationsh...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08313-3 |
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