Methylation Deconvolution

Methylation Deconvolution is a computational method that infers the proportional contribution of distinct cell or tissue types within a heterogeneous biological sample by analyzing genome-wide DNA methylation patterns.

48

Publications

6.6K

Citations

342

Authors

161

Institutions

Publications per year

2017–2026

41

Variants

Dna Methylation Deconvolution

Authors

342

  1. BC
    Brock C. Christensen

    Dartmouth College, United States

    13 publications · 1.3K citations

    13

    h-index

  2. KT
    Karl T. Kelsey

    Brown University, United States

    12 publications · 1.6K citations

    12

    h-index

  3. LA
    Lucas A. Salas

    Dartmouth College, United States

    11 publications · 1.2K citations

    11

    h-index

  4. DC
    Devin C. Koestler

    University of Kansas Medical Center, United States

    10 publications · 1.3K citations

    10

    h-index

  5. JK
    John K. Wiencke

    University of California, San Francisco, United States

    10 publications · 1.3K citations

    10

    h-index

1–5 of 342

Venues

  1. Clinical Epigenetics

    5 publications · 357 citations

    5

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 172 citations

    4

    h-index

  3. Genome biology

    4 publications · 808 citations

    4

    h-index

  4. Nature Communications

    3 publications · 1.3K citations

    3

    h-index

  5. Briefings in Bioinformatics

    2 publications · 48 citations

    2

    h-index

1–5