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...

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Detalles Bibliográficos
Autores principales: Iwasaki, Yuki, Abe, Takashi, Wada, Kennosuke, Wada, Yoshiko, Ikemura, Toshimichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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