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BMCBI
2008
135views more  BMCBI 2008»
9 years 4 months ago
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...
BMCBI
2005
169views more  BMCBI 2005»
9 years 3 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
ICIAR
2005
Springer
9 years 9 months ago
Vector Median Root Signals Determination for cDNA Microarray Image Segmentation
Abstract. This paper presents a new cDNA microarray image segmentation framework. The framework uses robust vector median ļ¬ltering to generate a root sigLnal which is an image ob...
Rastislav Lukac, Konstantinos N. Plataniotis
BMCBI
2004
132views more  BMCBI 2004»
9 years 3 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»
9 years 3 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...
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