Multi-omics Stratification
Multi-Omics Stratification is a patient stratification approach that integrates multiple layers of omics data—such as genomics, transcriptomics, proteomics, and metabolomics—to identify distinct patient subgroups based on comprehensive molecular profiles, thereby enabling more precise disease characterization and personalized treatment strategies.
36
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2.9K
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516
Authors
226
Institutions
Publications per year
2017–2026
30
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36
Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer
Kumardeep Chaudhary, Olivier Poirion, Liangqun Lu et al. · Clinical Cancer Research · 2017 · 1.1K citations · Full text
Medicine, Bioinformatics, Oncology +17
Anguraj Sadanandam, Stephan Wullschleger, Costas A. Lyssiotis et al. · Cancer Discovery · 2015 · 213 citations · Full text
Medicine, Endocrinology, Oncology +17
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226
Stanford University
Stanford, United States
3 h-index
8 publications
194 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
3 h-index
5 publications
196 citations
Cancer Center of Hawaii
Honolulu, United States
2 h-index
8 publications
4.6K citations

Christian-Albrechts-Universität zu Kiel
Kiel, Germany
2 h-index
4 publications
166 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
2 h-index
6 publications
2.5K citations
Fudan University
Shanghai, China
2 h-index
10 publications
784 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
653 citations
German Center for Neurodegenerative Diseases
Bonn, Germany
2 h-index
3 publications
134 citations
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2 publications · 47 citations
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2 publications · 93 citations
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2 publications · 72 citations
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Repository · 2 publications · 113 citations
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2 publications · 243 citations
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