Cross-omics Correlation Analysis
Cross-Omics Correlation Analysis is a computational method that identifies and quantifies statistical associations between molecular measurements across distinct omics layers, such as genomics, transcriptomics, proteomics, and metabolomics, to uncover regulatory relationships and biological coherence in integrated biological systems.
21
Publications
1.6K
Citations
252
Authors
122
Institutions
Publications per year
2017–2026
17
Parents
21
Zhexin Fan, R. Paul Ross, Catherine Stanton et al. · Frontiers in Immunology · 2021 · 94 citations · Full text
1–5 of 21
122
Maastricht University
Maastricht, The Netherlands
3 h-index
15 publications
645 citations

Imperial College London
London, United Kingdom
2 h-index
7 publications
336 citations
The University of Texas Health Science Center at Houston
Houston, United States
2 h-index
13 publications
570 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
2 h-index
9 publications
2.6K citations
Regenstrief Institute
Indianapolis, United States
2 h-index
2 publications
630 citations
University Medical Center Groningen
Groningen, The Netherlands
2 h-index
1 publications
90 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
2 h-index
6 publications
515 citations
Shanghai University of Traditional Chinese Medicine
Shanghai, China
2 h-index
9 publications
410 citations
1–8 of 122
2 publications · 60 citations
2
h-index
2 publications · 56 citations
2
h-index
2 publications · 686 citations
2
h-index
1 publications · 94 citations
1
h-index
1 publications · 10 citations
1
h-index
1–5