Gene2DisCo: Gene to disease using disease commonalities
作者：
Highlights：
• A novel method for disease-gene prioritization is proposed.
• The method leverages shared profiles among different diseases.
• Data source integration and imbalance-aware learning are cast into the framework.
• Novel candidate genes are inferred for selected diseases from the medical subject headings taxonomy.
• The method favorably compared on benchmark data.
摘要
•A novel method for disease-gene prioritization is proposed.•The method leverages shared profiles among different diseases.•Data source integration and imbalance-aware learning are cast into the framework.•Novel candidate genes are inferred for selected diseases from the medical subject headings taxonomy.•The method favorably compared on benchmark data.
论文关键词：Gene prioritization,MeSH disease,Biological networks,Disease semantic similarity
论文评审过程：Received 13 May 2017, Revised 24 July 2017, Accepted 13 August 2017, Available online 4 September 2017, Version of Record 26 October 2017.
论文官网地址：https://doi.org/10.1016/j.artmed.2017.08.001
