Transcriptome Classification

Transcriptome Classification is a computational framework that categorizes transcriptomic profiles into distinct biological or clinical states based on gene expression patterns, distinguishing itself from related analytical methods by its focus on systematic labeling of whole-transcriptome data for diagnostic, prognostic, or functional interpretation in cancer research.

335

Publications

32.8K

Citations

2.3K

Authors

895

Institutions

Publications per year

2017–2026

160

Authors

2.3K

  1. HW
    Hongqiang Wang

    National University of Defense Technology, China

    4 publications · 128 citations

    4

    h-index

  2. AD
    Aurélien de Reyniès

    La Ligue Contre le Cancer, France

    3 publications · 1.5K citations

    3

    h-index

  3. YH
    Yujin Hoshida

    Icahn School of Medicine at Mount Sinai, United States

    3 publications · 163 citations

    3

    h-index

  4. CZ
    Chun-Hou Zheng

    Anhui University, China

    3 publications · 158 citations

    3

    h-index

  5. ES
    Eric S. Lander

    Broad Institute, United States

    3 publications · 4.1K citations

    3

    h-index

1–5 of 2.3K

Venues

  1. PLoS ONE

    22 publications · 1.2K citations

    21

    h-index

  2. Scientific Reports

    14 publications · 734 citations

    13

    h-index

  3. BMC Genomics

    14 publications · 1.2K citations

    13

    h-index

  4. Bioinformatics

    11 publications · 4.1K citations

    11

    h-index

  5. BMC Bioinformatics

    10 publications · 565 citations

    10

    h-index

1–5