计算机应用与软件Issue(6)：57-61,108,6.DOI:10.3969/j.issn.1000-386x.2015.06.014
不同表达谱芯片分析方法在药效机制研究中的应用
APPLICATION OF DIFFERENT MICROARRAY ANALYSIS METHODS IN PHARMACOLOGICAL MECHANISM RESEARCH
摘要
Abstract
Affymetrix cDNA microarray technology is a high-throughput analysis technology used for studying the variation of genes expression in different conditions.Currently the application researches in microarray analysis methods in the aspects of deep and dynamically mining the mechanism of drug actions are still few.In the paper we take the medicine microarray data as the studying object,use different algorithms to preprocess the microarray data,use the methods of t test and significance analysis of genes microarray (SAM)to sift out the genes in differential expression,and use agglomerative hierarchical clustering and CPP-SOM (component plan presentation integrated self-organising map)clustering method for clustering analysis on the differential expression genes,finally we use two kinds of enrichment analysis tools,DAVID and GSEA (gene set enrichment analysis)to carry out the enrichment of the associated biological functions possibly involved by the pharmacodynamics in signaling pathways and biological process.Results demonstrate that to process medicine microarray data with RMA algorithm is better than using MAS5.0 and GCRMA algorithms,and CPP-SOMclustering method can mine more abounded data information, and GSEA enrichment analysis tools are more appropriate for the researches in regard to pharmacodynamic mechanism.Our study provides the algorithm support for new drug discovery and research.关键词
表达谱芯片/标准化/聚类/富集分析工具Key words
cDNA microarray/Normalisation/Clustering/Enrichment analysis tools分类
信息技术与安全科学引用本文复制引用
刘建胜,张善镇,姚志洪,杜艳芝..不同表达谱芯片分析方法在药效机制研究中的应用[J].计算机应用与软件,2015,(6):57-61,108,6.基金项目
国家自然科学基金项目（81170503）。 （）
