Cell-state Inference

Cell-State Inference is a computational method that distinguishes cellular phenotypes by identifying and characterizing transient, dynamic, or hierarchical functional states from single-cell genomic data based on gene expression, epigenetic, or multimodal molecular profiles.

96

Publications

16K

Citations

513

Authors

234

Institutions

Publications per year

2017–2026

63

Authors

513

  1. RW
    Roy Wollman

    University of California, Los Angeles, United States

    3 publications · 255 citations

    3

    h-index

  2. GP
    Garry P. Nolan

    Stanford University, United States

    3 publications · 705 citations

    3

    h-index

  3. DP
    Dana Pe’er

    Memorial Sloan Kettering Cancer Center, United States

    3 publications · 3.7K citations

    3

    h-index

  4. CS
    Charlotte Soneson

    SIB Swiss Institute of Bioinformatics, Switzerland

    2 publications · 547 citations

    2

    h-index

  5. BK
    Betsabeh Khoramian Tusi

    Harvard University, United States

    2 publications · 381 citations

    2

    h-index

1–5 of 513

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 209 citations

    8

    h-index

  2. Nature Communications

    4 publications · 776 citations

    4

    h-index

  3. Current Opinion in Systems Biology

    4 publications · 153 citations

    4

    h-index

  4. Molecular Systems Biology

    4 publications · 254 citations

    4

    h-index

  5. Bioinformatics

    4 publications · 136 citations

    4

    h-index

1–5