Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease
Fig 4
Embeddings were trained on American Gut data, and the predictive models were trained and tested on Halfvarson dataset (A). Transforming microbiome data into GloVe embedding space (100 features) prior to model training produces more accurate models than using ASVs (26,251 features) (B).