ViTAL deep learning models for lineage assignment under low coverage
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ViTAL, is a lineage assignment algorithm which inputs<br> a low-coverage genome, transforms it into embedded genome<br> fragments which are then fed into a classification neural<br> network, that outputs the most likely lineages the input genome<br> might belong to. The ViTAL algorithm is therefore divided into<br> preprocessing phase (MinHash) followed by embedding, and the<br> classification phase (Vision Transformer). The upload contains trained models for lineage assignment.
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Zenodo创建时间：
2023-09-20
