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BMCBI
2004
132views more  BMCBI 2004»
13 years 6 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 me...
Dankyu Yoon, Sung-Gon Yi, Ju-Han Kim, Taesung Park
BMCBI
2005
135views more  BMCBI 2005»
13 years 6 months ago
A robust two-way semi-linear model for normalization of cDNA microarray data
Background: Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative e...
Deli Wang, Jian Huang, Hehuang Xie, Liliana Manzel...
BMCBI
2006
88views more  BMCBI 2006»
13 years 6 months ago
Effect of various normalization methods on Applied Biosystems expression array system data
Background: DNA microarray technology provides a powerful tool for characterizing gene expression on a genome scale. While the technology has been widely used in discovery-based m...
Catalin C. Barbacioru, Yulei Wang, Roger D. Canale...
BMCBI
2007
149views more  BMCBI 2007»
13 years 6 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
BMCBI
2005
169views more  BMCBI 2005»
13 years 6 months ago
An adaptive method for cDNA microarray normalization
Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
Yingdong Zhao, Ming-Chung Li, Richard Simon