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» Microarray results: how accurate are they
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BMCBI
2006
103views more  BMCBI 2006»
13 years 10 months ago
Correction of scaling mismatches in oligonucleotide microarray data
Background: Gene expression microarray data is notoriously subject to high signal variability. Moreover, unavoidable variation in the concentration of transcripts applied to micro...
Martino Barenco, Jaroslav Stark, Daniel Brewer, Da...
BMCBI
2005
116views more  BMCBI 2005»
13 years 9 months ago
Can Zipf's law be adapted to normalize microarrays?
Background: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for ...
Timothy Lu, Christine M. Costello, Peter J. P. Cro...
BMCBI
2004
120views more  BMCBI 2004»
13 years 9 months ago
Optimal cDNA microarray design using expressed sequence tags for organisms with limited genomic information
Background: Expression microarrays are increasingly used to characterize environmental responses and hostparasite interactions for many different organisms. Probe selection for cD...
Yian A. Chen, David J. Mckillen, Shuyuan Wu, Matth...
ACAL
2007
Springer
14 years 4 months ago
An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
Abstract. This paper illustrates how the Quadratic Assignment Problem (QAP) is used as a mathematical model that helps to produce a visualization of microarray data, based on the r...
Mario Inostroza-Ponta, Alexandre Mendes, Regina Be...
BMCBI
2008
173views more  BMCBI 2008»
13 years 10 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal