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 (Author), Berger Leighton, Bonnie (Author), Sahinalp, Cenk (Author)
Other Authors: Massachusetts Institute of Technology. Department of Mathematics (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: World Scientific, 2019-11-26T20:52:22Z.
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