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Logistic regression over encrypted data from fully homomorphic encryption
BACKGROUND: One of the tasks in the 2017 iDASH secure genome analysis competition was to enable training of logistic regression models over encrypted genomic data. More precisely, given a list of approximately 1500 patient records, each with 18 binary features containing information on specific muta...
में बचाया:
| में प्रकाशित: | BMC Med Genomics |
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| मुख्य लेखकों: | , , , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
BioMed Central
2018
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6180402/ https://ncbi.nlm.nih.gov/pubmed/30309350 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-018-0397-z |
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