Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles
作者：
Highlights：
• A computational model based on random forest algorithm for identifying synergistic anti-cancer drug combinations is proposed.
• The model is based on features of biology network and gene expression profiles.
• Twenty-eight synergistic drug combinations were predicted, three out of which were reported, and the rest could be candidates for further investigations.
摘要
•A computational model based on random forest algorithm for identifying synergistic anti-cancer drug combinations is proposed.•The model is based on features of biology network and gene expression profiles.•Twenty-eight synergistic drug combinations were predicted, three out of which were reported, and the rest could be candidates for further investigations.
论文关键词：Synergistic drug combinations,Cancer,Network features,Gene expression profiles,Random forest
论文评审过程：Received 31 December 2016, Revised 18 April 2017, Accepted 11 May 2017, Available online 3 June 2017, Version of Record 17 November 2017.
论文官网地址：https://doi.org/10.1016/j.artmed.2017.05.008
