Adaptive graph learning of microbial phylogeny enables accurate and interpretable microbiome-based host phenotype prediction.

Abstract excerpt

The human microbiome is inherently structured by phylogeny, yet most predictive models treat microbial taxa as independent features, thereby underusing evolutionary information that may improve disease classification. While recent deep learning approaches have attempted to incorporate phylogeny, they generally rely on projecting phylogenetic trees into Euclidean spaces, which can distort the intrinsic topology of...

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