北京生物医学工程Issue(2)：151-155,5.DOI:10.3969/j.issn.1002-3208.2015.02.07
基于数据融合算法的精神分裂症易感基因排序及其信号通路研究
Gene ranking and signaling pathway of schizophrenia susceptible genes based on data fusion arithmetic
摘要
Abstract
Objective Based on previous studies,this paper applies data fusion arithmetic to extract the potential susceptible genes and signaling pathway related to schizophrenia, which proves that data fusion algorithm is an effective method to filter schizophrenia susceptible genes. Methods By making use of Endeavour tool which is based on data fusion method,the candidate genes were ranked according to their similarity with the tralning genes. Then DAVID database was used to implement the functional annotation and enrichment analysis for the extracted genes. Results Compared with previous studies,the second NRG3 and third AKT1 which are obtalned from higher ranking candidate genes,are closely related to schizophrenia. Other higher ranking genes could be used as potential disease-susceptibility genes to provide reference for the research of schizophrenia. Conclusions Data fusion arithmetic can help to detect the potential schizophrenia candidate genes objectively and correctly,and this method is a powerful tool for identifying schizophrenia susceptible genes.关键词
精神分裂症易感基因/数据融合算法/基因排序/信号通路Key words
schizophrenia susceptible gene/data fusion arithmetic/gene ranking/signaling pathway分类
医药卫生引用本文复制引用
杨铠冰,冀燃,王美琴,张敏,张大保..基于数据融合算法的精神分裂症易感基因排序及其信号通路研究[J].北京生物医学工程,2015,(2):151-155,5.基金项目
973计划（2014CB744604）、北京市教委自然基金（KM201010025004，KM201410025013）、北京市脑重大疾病研究院基金（ BIBDPXM2014014226000016）资助 （）
