ロード中...
Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature
BACKGROUND: Systems approaches to studying drug-side-effect (drug-SE) associations are emerging as an active research area for both drug target discovery and drug repositioning. However, a comprehensive drug-SE association knowledge base does not exist. In this study, we present a novel knowledge-dr...
保存先:
| 出版年: | BMC Bioinformatics |
|---|---|
| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2015
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4402591/ https://ncbi.nlm.nih.gov/pubmed/25860223 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-16-S5-S6 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|