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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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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