Computational drug repositioning using collaborative filtering via multi-source fusion
作者：
Highlights：
• Our method lays the foundation for heterogeneous data fusion with less time.
• An optimization objective function and a linear fusion method are proposed.
• Collaborative filtering is applied to generating prediction.
• The performance of the proposed method has a significant improvement.
• The proposed method is proved to be effective in drug repositioning.
摘要
•Our method lays the foundation for heterogeneous data fusion with less time.•An optimization objective function and a linear fusion method are proposed.•Collaborative filtering is applied to generating prediction.•The performance of the proposed method has a significant improvement.•The proposed method is proved to be effective in drug repositioning.
论文关键词：Drug repositioning,Multiple data sources,Collaborative filtering,Similarity,Optimization objective function
论文评审过程：Received 26 January 2017, Revised 12 April 2017, Accepted 3 May 2017, Available online 4 May 2017, Version of Record 15 May 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.004
