Tumor Microenvironment Deconvolution

Tumor Microenvironment Deconvolution is a computational method within cell-type deconvolution that specifically resolves the cellular composition of the tumor microenvironment by distinguishing malignant, stromal, and immune cell populations from bulk tissue gene expression profiles.

45

Publications

4.5K

Citations

422

Authors

184

Institutions

Publications per year

2017–2026

44

Authors

422

  1. RS
    Robert Sebra

    Icahn School of Medicine at Mount Sinai, United States

    4 publications · 204 citations

    4

    h-index

  2. AM
    Alexander M. Tsankov

    Broad Institute, United States

    2 publications · 172 citations

    2

    h-index

  3. FF
    Francesca Finotello

    Innsbruck Medical University, Austria

    2 publications · 1.3K citations

    2

    h-index

  4. RB
    Rachel Brody

    Icahn School of Medicine at Mount Sinai, United States

    2 publications · 79 citations

    2

    h-index

  5. EK
    Evgeny Kiner

    Harvard University, United States

    2 publications · 177 citations

    2

    h-index

1–5 of 422

Venues

  1. Nature Communications

    4 publications · 485 citations

    4

    h-index

  2. Bioinformatics

    3 publications · 1.1K citations

    3

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 25 citations

    2

    h-index

  4. Cancer Discovery

    2 publications · 90 citations

    2

    h-index

  5. Gut

    2 publications · 198 citations

    2

    h-index

1–5