Semi-Parallel logistic regression for GWAS on encrypted data
Abstract Background The sharing of biomedical data is crucial to enable scientific discoveries across institutions and improve health care. For example, genome-wide association studies (GWAS) based on a large number of samples can identify disease-causing genetic variants. The privacy concern, howev...
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| Main Authors: | , , , |
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| Format: | Book |
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BMC,
2020-07-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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