Single-cell State Inference

Single-Cell State Inference is a computational method within systems biology that identifies and characterizes the dynamic functional states of individual cells from high-dimensional single-cell omics data by distinguishing transcriptional or epigenetic variability associated with cellular identity, activity, or developmental trajectory.

66

Publications

16.7K

Citations

395

Authors

188

Institutions

Publications per year

2017–2026

55

Authors

395

  1. JW
    Jasper Wouters

    KU Leuven, Belgium

    4 publications · 7.8K citations

    4

    h-index

  2. SA
    Stein Aerts

    KU Leuven, Belgium

    4 publications · 7.8K citations

    4

    h-index

  3. GH
    Gert Hulselmans

    KU Leuven, Belgium

    4 publications · 7.8K citations

    4

    h-index

  4. SA
    Sara Aibar

    KU Leuven, Belgium

    4 publications · 7.8K citations

    4

    h-index

  5. CB
    Carmen Bravo González‐Blas

    VIB-KU Leuven Center for Brain & Disease Research, Belgium

    4 publications · 7.8K citations

    4

    h-index

1–5 of 395

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 9 publications · 413 citations

    9

    h-index

  2. Nature Methods

    6 publications · 8.2K citations

    6

    h-index

  3. Nature Biotechnology

    4 publications · 2K citations

    4

    h-index

  4. Nature Communications

    3 publications · 666 citations

    3

    h-index

  5. Cell Systems

    3 publications · 350 citations

    3

    h-index

1–5