Protecting Genomic Data Privacy with Probabilistic Modeling

As genetic sequencing becomes less expensive and data sets linking genetic data and medical records (e.g., Biobanks) become larger and more common, issues of data privacy and computational challenges become more necessary to address in order to realize the benefits of these datasets. One possibility...

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Bibliographic Details
Main Authors: Simmons, Sean, Berger Leighton, Bonnie, Sahinalp, Cenk
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Article
Language:English
Published: World Scientific 2019
Online Access:https://hdl.handle.net/1721.1/123095