Machine Learning Techniques on Microbiome-Based Diagnostics

Written by SwitchPoint Ventures

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With the aid of rapidly developing, next-generation sequencing methods and computational approaches used to maximally extract meaningful patterns from the high-dimensional human microbiota surveys data, researchers can

now enhance the ability to understand the composition of human microbiome. Applying machine learning and statistical techniques in human microbiome data to address the complex mechanisms underlying disease has brought about a new field of macrobiotics.