Single-cell Multi-omics Interpretation

Single-Cell Multi-Omics Interpretation is a computational framework that integrates and analyzes multiple molecular profiling layers—such as genomics, transcriptomics, epigenomics, and proteomics—at the resolution of individual cells to reconstruct cellular heterogeneity, regulatory dynamics, and functional states within complex biological systems.

28

Publications

6.7K

Citations

517

Authors

138

Institutions

Publications per year

2017–2026

28

Authors

517

  1. CA
    Caleb A. Lareau

    Harvard University, United States

    3 publications · 309 citations

    3

    h-index

  2. JD
    Jason D. Buenrostro

    Broad Institute, United States

    2 publications · 256 citations

    2

    h-index

  3. GX
    Gang Xin

    The Ohio State University, United States

    2 publications · 81 citations

    2

    h-index

  4. AK
    Andrew Kohlway

    Yale University, United States

    2 publications · 256 citations

    2

    h-index

  5. RL
    Ronald Lebofsky

    Harvard University, United States

    2 publications · 256 citations

    2

    h-index

1–5 of 517

Venues

  1. Nature Communications

    5 publications · 313 citations

    5

    h-index

  2. Frontiers in Immunology

    3 publications · 162 citations

    3

    h-index

  3. Nature Methods

    3 publications · 1.8K citations

    3

    h-index

  4. Nucleic Acids Research

    2 publications · 1.1K citations

    2

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 37 citations

    2

    h-index

1–5