Predictive Expression Signatures

Predictive Expression Signatures is a computational framework in the field of expression signature discovery that identifies and utilizes patterns of gene or molecular expression to forecast biological states, phenotypes, or clinical outcomes with statistical reliability.

263

Publications

27.7K

Citations

2K

Authors

709

Institutions

Publications per year

2017–2026

96

Authors

2K

  1. MJ
    Marc J. van de Vijver

    The Netherlands Cancer Institute, Netherlands

    5 publications · 694 citations

    5

    h-index

  2. LF
    Lodewyk F.A. Wessels

    The Netherlands Cancer Institute, Netherlands

    5 publications · 1.7K citations

    5

    h-index

  3. CM
    Charles M. Perou

    University of North Carolina at Chapel Hill, United States

    4 publications · 1.6K citations

    4

    h-index

  4. QT
    Qihua Tan

    University of Southern Denmark, Denmark

    3 publications · 75 citations

    3

    h-index

  5. WZ
    Wenyuan Zhao

    Harbin Medical University, China

    3 publications · 80 citations

    3

    h-index

1–5 of 2K

Venues

  1. Clinical Cancer Research

    17 publications · 1.1K citations

    16

    h-index

  2. PLoS ONE

    20 publications · 1.6K citations

    16

    h-index

  3. BMC Medical Genomics

    9 publications · 481 citations

    9

    h-index

  4. Cancer Research

    8 publications · 768 citations

    8

    h-index

  5. BMC Cancer

    8 publications · 341 citations

    8

    h-index

1–5