A hybrid approach to gene ranking using gene relation networks derived from literature for the identification of disease gene markers

作者：Shin Miyoung^*; Lee Hyungmin; Hong Munpyo

来源：International Journal of Data Mining and Bioinformatics, 2012, 6(3): 239-254.

DOI：10.1504/IJDMB.2012.049250

• gene ranking
• text-mining
• gene relation extraction
• disease gene markers
• microarray data analysis
• GeneRank

For the identification of gene markers involved in diseases, microarray expression profiles have been widely used to prioritize genes. In this paper, we propose a novel approach to gene ranking that employs gene relation network derived from literature along with microarray expression scores to calculate ranking statistics of individual genes. In particular, the gene relation network is constructed from literature by applying syntactic analysis and co-occurrence method in a hybrid manner. For evaluation, the proposed method was tested with publicly available prostate cancer data. The result shows that our method is superior to other existing approaches.

• 出版日期2012