Representation transfer for differentially private drug sensitivity prediction

MOTIVATION: Human genomic datasets often contain sensitive information that limits use and sharing of the data. In particular, simple anonymization strategies fail to provide sufficient level of protection for genomic data, because the data are inherently identifiable. Differentially private machine...

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Detalles Bibliográficos
Autores principales: Niinimäki, Teppo, Heikkilä, Mikko A, Honkela, Antti, Kaski, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612875/
https://www.ncbi.nlm.nih.gov/pubmed/31510659
http://dx.doi.org/10.1093/bioinformatics/btz373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612875/
https://www.ncbi.nlm.nih.gov/pubmed/31510659
http://dx.doi.org/10.1093/bioinformatics/btz373

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