Загрузка...
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...
Сохранить в:
| Опубликовано в: : | BMC Med Genomics |
|---|---|
| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2018
|
| Предметы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|