Privacy-preserving cancer type prediction with homomorphic encryption

Cancer genomics tailors diagnosis and treatment based on an individual’s genetic information and is the crux of precision medicine. However, analysis and maintenance of high volume of genetic mutation data to build a machine learning (ML) model to predict the cancer type is a computationally expensi...

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Detalles Bibliográficos
Autores principales: Sarkar, Esha, Chielle, Eduardo, Gursoy, Gamze, Chen, Leo, Gerstein, Mark, Maniatakos, Michail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886900/
https://www.ncbi.nlm.nih.gov/pubmed/36717667
http://dx.doi.org/10.1038/s41598-023-28481-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886900/
https://www.ncbi.nlm.nih.gov/pubmed/36717667
http://dx.doi.org/10.1038/s41598-023-28481-8

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