Methylation-based Tumor Classification

Methylation-Based Tumor Classification is a computational framework that categorizes tumor types and subtypes according to distinct patterns of DNA methylation profiles, leveraging epigenomic signatures as molecular fingerprints to distinguish neoplastic tissues beyond conventional histopathological or genetic criteria.

422

Publications

32.4K

Citations

4.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

295

Authors

4.5K

  1. AV
    Andreas von Deimling

    Heidelberg University, Germany

    36 publications · 10.1K citations

    30

    h-index

  2. SM
    Stefan M. Pfister

    Heidelberg University, Germany

    32 publications · 7.7K citations

    29

    h-index

  3. DC
    David Capper

    Heidelberg University, Germany

    30 publications · 7.4K citations

    26

    h-index

  4. DJ
    David Jones

    Heidelberg University, Germany

    29 publications · 7.3K citations

    25

    h-index

  5. MS
    Martin Sill

    German Cancer Research Center, Germany

    20 publications · 6.7K citations

    21

    h-index

1–5 of 4.5K

Venues

  1. Neuro-Oncology

    15 publications · 1K citations

    15

    h-index

  2. Acta Neuropathologica

    14 publications · 1.8K citations

    15

    h-index

  3. Acta Neuropathologica Communications

    15 publications · 819 citations

    14

    h-index

  4. Clinical Epigenetics

    11 publications · 504 citations

    12

    h-index

  5. Clinical Cancer Research

    10 publications · 608 citations

    11

    h-index

1–5