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Deep graph embedding for prioritizing synergistic anticancer drug combinations
Drug combinations are frequently used for the treatment of cancer patients in order to increase efficacy, decrease adverse side effects, or overcome drug resistance. Given the enormous number of drug combinations, it is cost- and time-consuming to screen all possible drug pairs experimentally. Curre...
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| Publicat a: | Comput Struct Biotechnol J |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Research Network of Computational and Structural Biotechnology
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7052513/ https://ncbi.nlm.nih.gov/pubmed/32153729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.02.006 |
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