10 Machine-Learning

In this section, machine learning techniques are applied to processed microbiome data to uncover complex patterns, predict microbial behavior, and identify key factors influencing community dynamics. Through advanced algorithms and predictive modeling, machine learning enhances our understanding of microbial ecosystems and their interactions.

A more detailed description is described in IMAP-PART 10