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A scalable software solution for anonymizing high-dimensional biomedical data
BACKGROUND: Data anonymization is an important building block for ensuring privacy and fosters the reuse of data. However, transforming the data in a way that preserves the privacy of subjects while maintaining a high degree of data quality is challenging and particularly difficult when processing c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489190/ https://www.ncbi.nlm.nih.gov/pubmed/34605868 http://dx.doi.org/10.1093/gigascience/giab068 |