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BMCBI
2004

Two-stage normalization using background intensities in cDNA microarray data

9 years 1 months ago
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...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2004
Where BMCBI
Authors Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
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