Multi-level prioritization of autism susceptibility genes based on different models

摘要：

In this paper, we proposed an approach of the multilevel ranking autism susceptibility genes based on different models for exploring the genetic complexity of autism. Our approach is divided into two phases. In the first prioritization phase, we extracted and prioritized genes from a large volume of biomedical literatures. These genes extracted were separated into seeds and candidates. In the secondary prioritization phase, we used seed genes to further prioritize candidates based on Endeavour. Experimental results show the approach is promising for extracting and predicting autism susceptibility genes.

关键词： component text mining autism susceptibility genes gene prioritization

作者: Lejun Gong Yunyang Yan

作者单位: Faculty of Computer Engineering,Huaiyin Institute of Technology, Huaian 223003

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 1645-1648

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）