ArrayNorm：微阵列数据的综合归一化与分析
ArrayNorm: comprehensive normalization and analysis of microarray data.
作者信息
Pieler R, Sanchez-Cabo F, Hackl H, Thallinger G G, Trajanoski Z
机构信息
Institute of Genomics and Bioinformatics and Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, 8010 Graz, Austria.
出版信息
Bioinformatics. 2004 Aug 12;20(12):1971-3. doi: 10.1093/bioinformatics/bth174. Epub 2004 Apr 8.
SUMMARY
ArrayNorm is a user-friendly, versatile and platform-independent Java application for the visualization, normalization and analysis of two-color microarray data. A variety of normalization options were implemented to remove the systematic and random errors in the data, taking into account the experimental design and the particularities of every slide. In addition, ArrayNorm provides a module for statistical identification of genes with significant changes in expression.
AVAILABILITY
The package is freely available for academic and non-profit institutions from http://genome.tugraz.at
摘要
ArrayNorm是一款用户友好、功能多样且与平台无关的Java应用程序，用于双色微阵列数据的可视化、标准化和分析。考虑到实验设计和每张玻片的特殊性，实现了多种标准化选项以消除数据中的系统误差和随机误差。此外，ArrayNorm提供了一个模块，用于对表达有显著变化的基因进行统计识别。
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