Normalization of single-channel DNA array data by principal component analysis
Normalization of single-channel DNA array data by principal component analysis
复制标题
DOI：
10.1093/bioinformatics/bth170
复制
发表时间：
2004-07-22
期刊：
影响因子：
5.8
通讯作者：
Patriotis, C
中科院分区：
文献类型：
--
作者：
Stoyanova, R;Querec, TD;Patriotis, C
动机：对来自多个样本的DNA基因表达阵列的输出进行详细的比较和分析，需要对来自不同杂交的测量个体基因强度进行全局归一化。这是考虑阵列制备和样品杂交条件变化所必需的。结果：在这里，我们提出了一个简单、稳健和准确的程序，用于基于主成分分析的单通道DNA阵列生成的数据集的全局归一化。该程序对数据做出最小的假设，在其他标准程序产生有偏差估计的情况下表现良好。它对数据转换、过滤（阈值）和预筛选也不敏感。
Motivation: Detailed comparison and analysis of the output of DNA gene expression arrays from multiple samples require global normalization of the measured individual gene intensities from the different hybridizations. This is needed for accounting for variations in array preparation and sample hybridization conditions.Results: Here, we present a simple, robust and accurate procedure for the global normalization of datasets generated with single-channel DNA arrays based on principal component analysis. The procedure makes minimal assumptions about the data and performs well in cases where other standard procedures produced biased estimates. It is also insensitive to data transformation, filtering (thresholding) and pre-screening.