Two-stage normalization using background intensities in cDNA microarray data

Background: In the microarray experiment, many undesirable systematic variations are commonly observed. Normalization is the process of removing such variation that affects the measured gene expression levels. Normalization plays an important role in the earlier stage of microarray data analysis. The subsequent analysis results are highly dependent on normalization. One major source of variation is the background intensities. Recently, some methods have been employed for correcting the background intensities. However, all these methods focus on defining signal intensities appropriately from foreground and background intensities in the image analysis. Although a number of normalization methods have been proposed, no systematic methods have been proposed using the background intensities in the normalization process. Results: In this paper, we propose a two-stage method adjusting for the effect of background intensities in the normalization process. The first stage fits a regression mode...

• Type: Journal
• Year: 2004
• Where: BMCBI
• Authors: Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
• Keywords: Background Intensities, BMCBI 2004, Normalization Method, Two-stage Normalization