Computational Combination Prioritization
Computational Combination Prioritization is a systematic methodological framework that integrates multi-omics data and network-based modeling to identify and rank synergistic drug combinations for therapeutic repurposing through predictive computational analysis.
27
Publications
2.1K
Citations
172
Authors
82
Institutions
Publications per year
2017–2026
20
27
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Kristina Preuer, Richard P. Lewis, Sepp Hochreiter et al. · Bioinformatics · 2017 · 677 citations · Full text
In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data
Remzi Çelebi, Oliver Bear Don’t Walk, Rajiv Movva et al. · Scientific Reports · 2019 · 129 citations · Full text
Medicine, Oncology, Pharmacology +15
Network Propagation Predicts Drug Synergy in Cancers
Tingyang Li, Daniel Quang, Yuanfang Guan · Cancer Research · 2018 · 114 citations
Liye He, Jing Tang, Emma Andersson et al. · Cancer Research · 2018 · 83 citations · Full text
Medicine, Oncology, Pharmacology +17
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82
Institute for Molecular Medicine Finland
Helsinki, Finland
3 h-index
14 publications
830 citations
Stanford University
Stanford, United States
3 h-index
11 publications
656 citations

University of Helsinki
Helsinki, Finland
3 h-index
16 publications
996 citations

University of Turku
Turku, Finland
2 h-index
3 publications
237 citations
RWTH Aachen University
Aachen, Germany
2 h-index
3 publications
201 citations
Center for Systems Biology
Boston, United States
2 h-index
8 publications
520 citations
Harvard University
Cambridge, United States
2 h-index
5 publications
330 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
222 citations
1–8 of 82
4 publications · 809 citations
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2 publications · 32 citations
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2 publications · 197 citations
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2 publications · 159 citations
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1 publications · 78 citations
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