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DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels
BACKGROUND: A drug-drug interaction (DDI) is defined as a drug effect modified by another drug, which is very common in treating complex diseases such as cancer. Many studies have evidenced that some DDIs could be an increase or a decrease of the drug effect. However, the adverse DDIs maybe result i...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929542/ https://ncbi.nlm.nih.gov/pubmed/31874609 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3093-x |
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