High performance logistic regression for privacy-preserving genome analysis

Abstract Background In biomedical applications, valuable data is often split between owners who cannot openly share the data because of privacy regulations and concerns. Training machine learning models on the joint data without violating privacy is a major technology challenge that can be addressed...

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Bibliographic Details
Main Authors: Martine De Cock (Author), Rafael Dowsley (Author), Anderson C. A. Nascimento (Author), Davis Railsback (Author), Jianwei Shen (Author), Ariel Todoki (Author)
Format: Book
Published: BMC, 2021-01-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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