Genomic Data De-identification

Genomic Data De-Identification is the process of removing or obscuring personally identifiable information from genomic data to prevent the attribution of genetic information to specific individuals while preserving the data’s utility for research and analysis.

21

Publications

1.7K

Citations

60

Authors

42

Institutions

Publications per year

2017–2026

7

Authors

60

  1. YD
    Yi Ding

    University of California, Los Angeles, United States

    2 publications · 45 citations

    2

    h-index

  2. LS
    Latanya Sweeney

    Carnegie Mellon University, United States

    2 publications · 115 citations

    2

    h-index

  3. CL
    Clara Lajonchere

    University of California, Los Angeles, United States

    2 publications · 45 citations

    2

    h-index

  4. BM
    Bradley Malin

    Vanderbilt University, United States

    2 publications · 96 citations

    2

    h-index

  5. DH
    Daniel H. Geschwind

    University of California, Los Angeles, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 60

Venues

  1. Science

    3 publications · 533 citations

    3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 62 citations

    1

    h-index

  3. Cell Genomics

    1 publications · 35 citations

    1

    h-index

  4. Applied & Translational Genomics

    1 publications · 12 citations

    1

    h-index

  5. EMBO Reports

    1 publications · 90 citations

    1

    h-index

1–5