Gharaibeh Raad Z, Fodor Anthony A, Gibas Cynthia J
Bioinformatics Research Center, University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, NC 28223, USA.
Comput Biol Chem. 2007 Apr;31(2):92-8. doi: 10.1016/j.compbiolchem.2007.02.008. Epub 2007 Feb 20.
High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significant portion of the measured raw data. A number of statistical techniques have been developed to correct for this background noise. Here, we demonstrate that probe minimum folding energy and structure can be used to enhance a previously existing model for background noise correction. We estimate that probe secondary structure accounts for up to 3% of all variation on Affymetrix microarrays.
高密度短寡核苷酸微阵列是评估全球基因表达的主要研究工具。微阵列上的背景噪声占测量原始数据的很大一部分。已经开发了许多统计技术来校正这种背景噪声。在这里,我们证明探针最小折叠能量和结构可用于增强先前存在的背景噪声校正模型。我们估计探针二级结构占Affymetrix微阵列上所有变异的3%。