Single-cell Genomics Integration

Single-Cell Genomics Integration is a computational framework that synthesizes multi-omics data at the individual cell level to reconstruct coherent biological states and regulatory dynamics, distinguished from bulk-level integration methods by its resolution of cellular heterogeneity and cell-type-specific molecular interactions.

8

Publications

1.2K

Citations

94

Authors

29

Institutions

Publications per year

2017–2026

8

Authors

94

  1. QY
    Qiuyue Yuan

    National Center for Mathematics and Interdisciplinary Sciences, China

    1 publications · 17 citations

    1

    h-index

  2. EB
    Edward B. Lee

    University of Pennsylvania, United States

    1 publications · 40 citations

    1

    h-index

  3. YJ
    Yang Joon Kim

    Chan Zuckerberg Initiative (United States), United States

    1 publications · 91 citations

    1

    h-index

  4. EJ
    Eduardo J. Villablanca

    Karolinska Institutet, Sweden

    1 publications · 56 citations

    1

    h-index

  5. RC
    Robrecht Cannoodt

    VIB-UGent Center for Inflammation Research, Belgium

    1 publications · 91 citations

    1

    h-index

1–5 of 94

Venues

  1. Genome biology

    2 publications · 883 citations

    2

    h-index

  2. Cell

    1 publications · 40 citations

    1

    h-index

  3. Nature Immunology

    1 publications · 56 citations

    1

    h-index

  4. Cancer Cell

    1 publications · 41 citations

    1

    h-index

  5. Nature Communications

    1 publications · 82 citations

    1

    h-index

1–5