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Bioinformatics and machine learning in gastrointestinal microbiome research and clinical application.

Lindsay M. Hopson,Stephanie S. Singleton,5 Authors,R. Mazumder

2020 · DOI: 10.1016/bs.pmbts.2020.08.011
Progress in Molecular Biology and Translational Science · 7 Citations

TLDR

This chapter describes an interdisciplinary approach to GM research with the goal of mitigating the hindrances of translating findings into a clinical setting, using tools and knowledge from microbiology, metagenomics, bioinformatics, machine learning, predictive modeling, and clinical study data from children with treatment-resistant epilepsy.