Designing sensitive viral diagnostics with machine learning

Design of nucleic acid-based viral diagnostics typically follows heuristic rules and, to contend with viral variation, focuses on a genome’s conserved regions. A design process could, instead, directly optimize diagnostic effectiveness using a learned model of sensitivity for targets and their varia...

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Detalles Bibliográficos
Autores principales: Metsky, Hayden C., Welch, Nicole L., Pillai, Priya P., Haradhvala, Nicholas J., Rumker, Laurie, Mantena, Sreekar, Zhang, Yibin B., Yang, David K., Ackerman, Cheri M., Weller, Juliane, Blainey, Paul C., Myhrvold, Cameron, Mitzenmacher, Michael, Sabeti, Pardis C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287178/
https://www.ncbi.nlm.nih.gov/pubmed/35241837
http://dx.doi.org/10.1038/s41587-022-01213-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287178/
https://www.ncbi.nlm.nih.gov/pubmed/35241837
http://dx.doi.org/10.1038/s41587-022-01213-5

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