Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data
Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data
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DOI：
10.1002/jcb.10073
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发表时间：
2001-01-01
影响因子：
4
通讯作者：
Wong, WH
中科院分区：
文献类型：
--
作者：
Schadt, EE;Li, C;Wong, WH
用于在高密度寡核苷酸基因表达阵列上执行特征提取和归一化的算法尚未被充分探索，并且这些算法对下游分析的影响尚未得到很好的理解。这种低水平分析方法的进步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。我们已经开发并实现了一些算法，用于在软件应用程序中分析表达阵列数据，DNA芯片分析仪（dChip）。在这份报告中，我们描述了算法的特征提取和规范化，目前的验证数据和比较结果与目前使用的一些算法。(C)2002 Wiley-Liss，Inc.
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. (C) 2002 Wiley-Liss, Inc.