Schadt E E, Li C, Ellis B, Wong W H
Department of Biomathematics, University of California, Los Angeles, California, USA.
J Cell Biochem Suppl. 2001;Suppl 37:120-5. doi: 10.1002/jcb.10073.
Algorithms for performing feature extraction and normalization on high-density oligonucleotide gene expression arrays, have not been fully explored, and the impact these algorithms have on the downstream analysis is not well understood. Advances in such low-level analysis methods are essential to increase the sensitivity and specificity of detecting whether genes are present and/or differentially expressed. We have developed and implemented a number of algorithms for the analysis of expression array data in a software application, the DNA-Chip Analyzer (dChip). In this report, we describe the algorithms for feature extraction and normalization, and present validation data and comparison results with some of the algorithms currently in use.
用于在高密度寡核苷酸基因表达阵列上进行特征提取和标准化的算法尚未得到充分探索，并且这些算法对下游分析的影响也未得到很好的理解。此类低级分析方法的进展对于提高检测基因是否存在和/或差异表达的灵敏度和特异性至关重要。我们已经开发并在一个名为DNA芯片分析仪（dChip）的软件应用程序中实现了许多用于分析表达阵列数据的算法。在本报告中，我们描述了特征提取和标准化算法，并展示了验证数据以及与一些当前使用的算法的比较结果。
