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» Combined Gene Selection Methods for Microarray Data Analysis
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BMCBI
2007
169views more  BMCBI 2007»
15 years 3 months ago
Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
BMCBI
2004
128views more  BMCBI 2004»
15 years 3 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
IPPS
2003
IEEE
15 years 8 months ago
Accurate Method for Fast Design of Diagnostic Oligonucleotide Probe Sets for DNA Microarrays
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...
Andreas Krause, Markus Kräutner, Harald Meier
BMCBI
2007
128views more  BMCBI 2007»
15 years 3 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
BMCBI
2004
169views more  BMCBI 2004»
15 years 3 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...