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
Parents
5
Anja van de Stolpe, Laurent Holtzer, Henk van Ooijen et al. · Scientific Reports · 2019 · 67 citations · Full text
1–5 of 5
27
1
h-index
1
h-index
Second Affiliated Hospital of Xi'an Jiaotong University, China
1 publications · 12 citations
1
h-index
1
h-index
1
h-index
1–5 of 27
13
Sage Bionetworks
Seattle, United States
1 h-index
1 publications
16.5K citations
Texas A&M University
College Station, United States
1 h-index
3 publications
381 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
10 publications
120 citations
NXP (Netherlands)
Eindhoven, The Netherlands
1 h-index
1 publications
67 citations
Translational Genomics Research Institute
Phoenix, United States
1 h-index
1 publications
127 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
12 citations

University of Helsinki
Helsinki, Finland
1 h-index
3 publications
39 citations
Second Affiliated Hospital of Xi'an Jiaotong University
Xi'an, China
1 h-index
4 publications
48 citations
1–8 of 13
1 publications · 67 citations
1
h-index
1 publications · 16.5K citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 127 citations
1
h-index
1 publications · 12 citations
1
h-index
1–5