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Computational inference of cancer-specific vulnerabilities in clinical samples
BACKGROUND: Systematic in vitro loss-of-function screens provide valuable resources that can facilitate the discovery of drugs targeting cancer vulnerabilities. RESULTS: We develop a deep learning-based method to predict tumor-specific vulnerabilities in patient samples by leveraging a wealth of in...
Autores principales: | Jang, Kiwon, Park, Min Ji, Park, Jae Soon, Hwangbo, Haeun, Sung, Min Kyung, Kim, Sinae, Jung, Jaeyun, Lee, Jong Won, Ahn, Sei-Hyun, Chang, Suhwan, Choi, Jung Kyoon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386251/ https://www.ncbi.nlm.nih.gov/pubmed/32600395 http://dx.doi.org/10.1186/s13059-020-02077-1 |
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