September 25, 2025Open Access

Illuminating the Virosphere's Dark Matter using Hierarchical Deep Learning

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Hierarchical deep learning identifies novel viral lineages in metagenomic datasets, suggesting new avenues for pandemic preparedness.

DeepVirus accurately classifies viral genomes, uncovering previously uncharacterized RNA viruses.
Implementation of DeepVirus across metagenomic datasets revealed extensive viral diversity including novel RNA polymerases.
The hierarchical deep learning approach combines protein-level embeddings with genome-aware representations for effective classification.
This innovative framework enhances the understanding of viral taxonomy and its implications for global health.

Cao et al. (2025) studied this question.

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