Digital Cytometry

Digital Cytometry is a computational methodology within the field of cell-type deconvolution that enables the inference of cell type proportions and molecular profiles in heterogeneous tissues from bulk omics data by leveraging reference signatures and high-dimensional statistical modeling.

179

Publications

20.7K

Citations

974

Authors

382

Institutions

Publications per year

2017–2026

78

Authors

974

  1. DR
    David R. Parks

    Stanford University, United States

    6 publications · 233 citations

    6

    h-index

  2. WM
    Wayne Moore

    Stanford University, United States

    4 publications · 146 citations

    4

    h-index

  3. SM
    Stephen Meehan

    Stanford University, United States

    4 publications · 126 citations

    4

    h-index

  4. LA
    Leonore A. Herzenberg

    Stanford University, United States

    6 publications · 178 citations

    4

    h-index

  5. GW
    Guenther Walther

    Stanford University, United States

    4 publications · 126 citations

    4

    h-index

1–5 of 974

Venues

  1. Cytometry Part A

    15 publications · 488 citations

    13

    h-index

  2. Cytometry

    12 publications · 558 citations

    12

    h-index

  3. Bioinformatics

    7 publications · 355 citations

    7

    h-index

  4. PubMed

    Repository · 7 publications · 125 citations

    7

    h-index

  5. Nature Communications

    4 publications · 325 citations

    4

    h-index

1–5