Single-cell Omics Integration

Single-Cell Omics Integration is a computational framework that combines multiple types of omics data at the individual cell level to reconstruct comprehensive molecular profiles, distinguished from bulk-level integration methods by its resolution of cellular heterogeneity and capture of cell-specific regulatory dynamics.

89

Publications

21.4K

Citations

1K

Authors

301

Institutions

Publications per year

2017–2026

82

Authors

1K

  1. LW
    Lin Wan

    Academy of Mathematics and Systems Science, China

    4 publications · 279 citations

    4

    h-index

  2. KC
    Kai Cao

    Chinese Academy of Sciences, China

    4 publications · 279 citations

    4

    h-index

  3. YH
    Yiguang Hong

    Chinese Academy of Sciences, China

    4 publications · 279 citations

    4

    h-index

  4. JD
    Joshua D. Welch

    University of Michigan, United States

    3 publications · 1.5K citations

    3

    h-index

  5. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    3 publications · 528 citations

    3

    h-index

1–5 of 1K

Venues

  1. Nature Communications

    10 publications · 526 citations

    10

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 233 citations

    9

    h-index

  3. Bioinformatics

    8 publications · 425 citations

    8

    h-index

  4. Nature Methods

    5 publications · 12.5K citations

    5

    h-index

  5. Nucleic Acids Research

    5 publications · 1.7K citations

    5

    h-index

1–5