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High performance logistic regression for privacy-preserving genome analysis

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 by comb...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:BMC Med Genomics
मुख्य लेखकों: De Cock, Martine, Dowsley, Rafael, Nascimento, Anderson C. A., Railsback, Davis, Shen, Jianwei, Todoki, Ariel
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: BioMed Central 2021
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC7818577/
https://ncbi.nlm.nih.gov/pubmed/33472626
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-020-00869-9
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