A microarray system is a powerful and very useful technology for analyzing the expression profile of thousands of genes. In this study, we made a cDNA microarray system carrying 2007 cDNAs obtained from primary neuroblastoma cDNA library and identified retinoic acid (RA)-regulated genes in a RTBM1 neuroblastoma cell line. We repeated independent hybridization experiment twice and found that 7 g...

Recent developments in expressed sequence tag (EST) and cDNA microarray technology have had a dramatic impact on the ability of scientists to study responses of thousands of genes to internal and external stimuli. In neurobiology, studies of the human brain have been expanding rapidly by use of functional genomics techniques. To enhance these studies and allow use of a porcine brain model, a no...

cDNA microarray is an innovative technology that facilitates the analysis of the expression of thousands of genes simultaneously. The utilization of this methodology, which is rapidly evolving, requires a combination of expertise from the biological, mathematical and statistical sciences. In this review, we attempt to provide an overview of the principles of cDNA microarray technology, the prac...

April 17, 2009 Version 1.0.1 Date 2006-01-17 Maintainer Deli Wang Author Deli Wang, Jian Huang Depends splines Title Systematic approaches using TW-SLM for incorporating control spots and data quality information to improve normalization of cDNA microarray data. Description TwslmSpikeWeight is for normalization of cDNA microarray data with the two-way semilinear model(TW...

This paper introduces a vector-based framework for edge detection and spot localization in cDNA microarray data. Since cDNA microarray images can be viewed as vector fields, both their spectral and spatial characteristics should be used to determine edges, discontinuities and structural elements. Building upon the powerful nature of nonlinear operators, the proposed vector edge operators can ef...