电子科技大学学报2017，Vol.46Issue(5)：755-765,11.DOI:10.3969/j.issn.1001-0548.2017.05.019
基于分子网络的疾病基因预测方法综述
A Survey of Disease Gene Prediction Methods Based on Molecular Networks
摘要
Abstract
The identification of disease genes is the crucial step in uncovering disease pathology and systematically analyzing polygenetic disease. The high-throughput technology has advanced the development of network-based approaches for disease gene prediction. Based on the "guilt-by-association" principle, now disease gene prioritization methods can measure the proximity between candidate genes and causal genes so as to pinpoint the potential disease genes. In this review, we first classify the network-based approaches for disease gene prediction into three categories: the approach based on disease genes information, the approach integrated with phenotype similarity and the approach that integrates several results from multiple data resources into one final result. Then we bring out the current situation of these approaches and summarize the current achievements and existing problems. Finally we put forward some suggestions for future research.关键词
疾病基因预测/异构网络/分子网络/表型相似性/多结果融合Key words
disease gene prediction/heterogeneous network/molecular networks/phenotype similarity/result integration分类
信息技术与安全科学引用本文复制引用
赵静,林丽梅..基于分子网络的疾病基因预测方法综述[J].电子科技大学学报,2017,46(5):755-765,11.基金项目
国家自然科学基金(61372194,81260672) （61372194,81260672）
重庆市研究生教改项目(yjg152017) （yjg152017）
