A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems
ABSTRACT Machine learning (ML) modeling of the human microbiome has the potential to identify microbial biomarkers and aid in the diagnosis of many diseases such as inflammatory bowel disease, diabetes, and colorectal cancer. Progress has been made toward developing ML models that predict health out...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Society for Microbiology
2020
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/47b3a3d71e7741b48a1bbd42dbb2aeb9 |
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