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基因芯片数据分析过程:从原始数据到生物学意义

The Microarray Data Analysis Process:from Raw Data to Biological Significance
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摘要 基因芯片实验要得到可靠的生物学结论,必须基于优化的实验设计和科学的数据分析。讨论了与基因芯片数据分析方法相关的实验设计方面的几个问题,简述了差异表达分析、聚类分析及功能富集分析等分析方法及其进展,并介绍了部分软件及应用。 A reliable biological conclusion obtained from microarray experiment must be based of the optimized experimental design and the scientific data analysis. Several problems about the experimental design which are related with microarray data analysis were discussed, and differentially expression analysis, cluster analysis, functional enrichment analysis and their advancements were recommended. Some commonly used software and their application were also introduced.
作者 胡延佳 翦新春
机构地区 中南大学湘雅医院口腔颌面外科
出处 《生物技术通讯》 CAS 2007年第2期333-335,共3页 Letters in Biotechnology
基金 国家自然科学基金项目(30572044)
关键词 基因芯片 统计分析 聚类分析 基因注释 microarray statistical analysis cluster analysis gene annotation
分类号 Q789 [生物学—分子生物学]
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参考文献33

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二级参考文献106

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生物技术通讯
2007年 第2期

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