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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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Principais autores: Begüm D. Topçuoğlu, Nicholas A. Lesniak, Mack T. Ruffin, Jenna Wiens, Patrick D. Schloss
Formato: Artigo
Idioma:Inglês
Publicado em: American Society for Microbiology 2020-06-01
coleção:mBio
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Acesso em linha:https://journals.asm.org/doi/10.1128/mBio.00434-20
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