北京生物医学工程2011，Vol.30Issue(5)：543-545,542,4.DOI:10.3969/j.issn.1002-3208.2011.05.22
BP网络与复杂疾病相关的SNPs数据分析
Back-Propagation Neural Network and the Analysis of Complex Disease-Related SNPs
摘要
Abstract
Back-propagation neural network plays an important role and is proved significant in the analysis of genetic data. In this paper, we firstly introduced the background, hot spots and main problems on single nucleotide polymorphisms ( SJNPs ) analysis. On this basis, we reviewed the common methods in SNPs analysis and their shortcomings. Then we introduced the BP network and its applications in the analysis of SJNPs, such as susceptibility genes screening, diagnostic classification of tumors, and solutions for the main problems. Finally we put forward a strategy, which can analyze the complex diseases related to SJNPs by the BP network combining parameter decreasing method (PDM) and cluster analysis.关键词
SNPs/BP神经网络/参数递减方法Key words
single nucleotide polymorphisms/ BP neural network/ parameter decreasing method分类
医药卫生引用本文复制引用
李军政,伍亚舟..BP网络与复杂疾病相关的SNPs数据分析[J].北京生物医学工程,2011,30(5):543-545,542,4.基金项目
国家自然基金项目(30901242)资助 （30901242）
