Cross-omics Correlation Networks
Cross-Omics Correlation Networks is a computational framework that integrates multiple omics data types by constructing a network representation in which nodes correspond to molecular features across distinct omics layers and edges represent statistically significant correlations between them, enabling the systematic identification of inter-omics interactions underlying complex biological processes.
6
Publications
135
Citations
55
Authors
28
Institutions
Publications per year
2017–2026
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1–5 of 6
55
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University of Arkansas for Medical Sciences, United States
1 publications · 17 citations
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1
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1
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1
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1–5 of 55
28
Roche (Switzerland)
Basel, Switzerland
1 h-index
1 publications
40 citations
Technical University of Munich
Munich, Germany
1 h-index
1 publications
10 citations

University of Indianapolis
Indianapolis, United States
1 h-index
1 publications
34 citations
University of Würzburg
Würzburg, Germany
1 h-index
2 publications
80 citations
University of Washington
Seattle, United States
1 h-index
3 publications
30 citations
Biocom
San Diego, United States
1 h-index
1 publications
21 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
2 publications
68 citations
Novartis (Switzerland)
Basel, Switzerland
1 h-index
4 publications
160 citations
1–8 of 28
TAAP · 1 publications · 40 citations
1
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Repository · 1 publications · 34 citations
1
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1 publications · 13 citations
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1 publications · 10 citations
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1 publications · 21 citations
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