Single-cell Epigenomics Integration

Single-Cell Epigenomics Integration is a computational framework that synthesizes epigenomic data across individual cells to reconstruct regulatory landscapes with single-cell resolution, enabling the dissection of cellular heterogeneity in gene regulation.

21

Publications

2.3K

Citations

187

Authors

77

Institutions

Publications per year

2017–2026

21

Authors

187

  1. MC
    Maria Colomé‐Tatché

    University of Groningen, Netherlands

    3 publications · 258 citations

    3

    h-index

  2. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    3 publications · 258 citations

    3

    h-index

  3. PV
    Peter V. Kharchenko

    Harvard University, United States

    3 publications · 1.3K citations

    3

    h-index

  4. YC
    Yun C. Yung

    University of California San Diego, United States

    2 publications · 1.2K citations

    2

    h-index

  5. AD
    Anna Danese

    Helmholtz Zentrum München, Germany

    2 publications · 174 citations

    2

    h-index

1–5 of 187

Venues

  1. Nature Communications

    4 publications · 313 citations

    4

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 226 citations

    4

    h-index

  3. Nature Methods

    2 publications · 180 citations

    2

    h-index

  4. Nature Biotechnology

    2 publications · 1.2K citations

    2

    h-index

  5. PubMed

    Repository · 1 publications · 40 citations

    1

    h-index

1–5