Article

Ensemble Deep Learning Models on Raw DNA Sequences for Viral Genome Identification in Human Samples

2026-02-26

Abstract excerpt

Detecting highly divergent or previously unknown viruses remains a major challenge with important clinical implications. In human sequencing datasets, alignment-based approaches frequently classify many assembled contigs as “unknown” because they lack detectable similarity to reference genomes. In this work, we introduce an ensemble of deep neural networks designed to identify viral sequences across diverse human...

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Literature Corpus work: b44c533c-5017-5c6a-b177-bbaa27d495a1
DOI: 10.20944/preprints202602.1473.v1

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