168 search results - page 14 / 34 » Multivariate analysis of microarray data: differential expre... |
BMCBI
2006
14 years 11 months ago
2006
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
106
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BMCBI
2006
14 years 11 months ago
2006
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
117
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NN
2007
Springer
14 years 11 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
102
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BMCBI
2008
14 years 11 months ago
2008
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
125
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BMCBI
2004
14 years 11 months ago
2004
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...