Hla Typing Algorithm Development

HLA Typing Algorithm Development is a systematic computational methodology designed to infer or predict human leukocyte antigen (HLA) types from biological data, distinguished from other bioinformatics methods by its specific focus on identifying HLA alleles through algorithmic innovation in sequence analysis, genotyping, or variant interpretation.

68

Publications

5.5K

Citations

442

Authors

185

Institutions

Publications per year

2017–2026

27

Parents

Authors

442

  1. PG
    Pierre‐Antoine Gourraud

    Inserm, France

    3 publications · 159 citations

    3

    h-index

  2. GM
    Gil McVean

    University of Oxford, United Kingdom

    3 publications · 444 citations

    3

    h-index

  3. MG
    Marcel G.J. Tilanus

    University Medical Center Utrecht, Netherlands

    3 publications · 168 citations

    3

    h-index

  4. GL
    Guang Lan Zhang

    Dana-Farber Cancer Institute, United States

    3 publications · 643 citations

    3

    h-index

  5. EH
    Erik H. Rozemuller

    University Medical Center Utrecht, Netherlands

    3 publications · 168 citations

    3

    h-index

1–5 of 442

Venues

  1. Human Immunology

    17 publications · 566 citations

    13

    h-index

  2. Journal of Immunological Methods

    4 publications · 127 citations

    4

    h-index

  3. Frontiers in Immunology

    4 publications · 105 citations

    4

    h-index

  4. BMC Bioinformatics

    4 publications · 215 citations

    4

    h-index

  5. Bioinformatics

    4 publications · 1.2K citations

    4

    h-index

1–5