Causal Integration Of Transcriptomics
Causal Integration of Transcriptomics is a computational framework that identifies and models causal relationships between transcriptomic profiles and higher-level phenotypic or molecular outcomes by integrating transcriptomics data with complementary omics layers through causal inference principles.
5
Publications
1.4K
Citations
73
Authors
30
Institutions
Publications per year
2017–2026
3
Parents
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An integrative genomics approach to infer causal associations between gene expression and disease
Eric E. Schadt, John R. Lamb, Xia Yang et al. · Nature Genetics · 2005 · 1.1K citations · Full text
Francisco Peñagaricano, B.D. Valente, Juan P. Steibel et al. · BMC Systems Biology · 2015 · 17 citations · Full text
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Merck & Co., Inc., Rahway, NJ, USA (United States), United States
1 publications · 1.1K citations
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30
University of Tartu
Tartu, Estonia
2 h-index
3 publications
299 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
3.2K citations

Karolinska Institutet
Stockholm, Sweden
1 h-index
1 publications
21 citations
University of Lausanne
Lausanne, Switzerland
1 h-index
7 publications
973 citations
Tartu University Hospital
Tartu, Estonia
1 h-index
2 publications
42 citations
University of Chicago
Chicago, United States
1 h-index
2 publications
42 citations

Qingdao University
Qingdao, China
1 h-index
3 publications
405 citations
Rosetta Stone (United States)
Arlington, United States
1 h-index
12 publications
12.8K citations
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1 publications · 17 citations
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1 publications · 1.1K citations
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1 publications · 135 citations
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1 publications · 139 citations
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Repository · 1 publications · 21 citations
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