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Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes
BACKGROUND: Unsupervised AI (artificial intelligence) can obtain novel knowledge from big data without particular models or prior knowledge and is highly desirable for unveiling hidden features in big data. SARS-CoV-2 poses a serious threat to public health and one important issue in characterizing...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907386/ https://www.ncbi.nlm.nih.gov/pubmed/35272618 http://dx.doi.org/10.1186/s12866-022-02484-3 |