Sample-level Pathway Activity Estimation

Sample-Level Pathway Activity Estimation is a computational method that quantifies the functional state of biological pathways in individual samples by integrating molecular profiling data with prior knowledge of gene pathway membership, distinguishing it from population-level or aggregate approaches through its focus on per-sample activity inference.

5

Publications

16.7K

Citations

27

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

27

  1. SY
    Shi Yao

    Xi'an Jiaotong University, China

    1 publications · 12 citations

    1

    h-index

  2. CW
    Chen Wang

    Mayo Clinic in Florida, United States

    1 publications · 12 citations

    1

    h-index

  3. YC
    Yi-Xiao Chen

    Second Affiliated Hospital of Xi'an Jiaotong University, China

    1 publications · 12 citations

    1

    h-index

  4. RC
    Robert Castelo

    Universitat Pompeu Fabra, Spain

    1 publications · 16.5K citations

    1

    h-index

  5. WV
    Wim Verhaegh

    Philips (Netherlands), Netherlands

    1 publications · 67 citations

    1

    h-index

1–5 of 27

Venues

  1. Scientific Reports

    1 publications · 67 citations

    1

    h-index

  2. BMC Bioinformatics

    1 publications · 16.5K citations

    1

    h-index

  3. 1

    h-index

  4. PLoS ONE

    1 publications · 127 citations

    1

    h-index

  5. EBioMedicine

    1 publications · 12 citations

    1

    h-index

1–5