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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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| 出版年: | Comput Struct Biotechnol J |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Research Network of Computational and Structural Biotechnology
2020
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| 主題: | |
| オンライン･アクセス: | 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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