Allen Institute for Brain Science, Seattle, WA 98103, USA.
Genome Biol. 2008 Jan 30;9(1):R23. doi: 10.1186/gb-2008-9-1-r23.
With the emergence of genome-wide colorimetric in situ hybridization (ISH) data sets such as the Allen Brain Atlas, it is important to understand the relationship between this gene expression modality and those derived from more quantitative based technologies. This study introduces a novel method for standardized relative quantification of colorimetric ISH signal that enables a large-scale cross-platform expression level comparison of ISH with two publicly available microarray brain data sources.
随着全基因组显色原位杂交(ISH)数据集(如艾伦脑图谱)的出现,了解这种基因表达模式与更基于定量技术的表达方式之间的关系非常重要。本研究介绍了一种用于对显色 ISH 信号进行标准化相对定量的新方法,该方法可实现大规模跨平台的 ISH 与两个公开的微阵列脑数据来源的表达水平比较。