Article

E2VD: a unified evolution-driven framework for virus variation drivers prediction

2023-11-27

Abstract excerpt

The increasing frequency of emerging viral infections necessitates a rapid human response, highlighting the cost-effectiveness of computational methods. However, existing computational approaches are limited by their input forms or incomplete functionalities, preventing a unified prediction of diverse viral variation drivers and hindering in-depth applications. To address this issue, we propose a unified evolution...

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Literature Corpus work: 5ecb85f5-d8fe-5fda-bda9-3ffe28818eb2
DOI: 10.1101/2023.11.27.568815

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