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BMCBI
2008
13 years 7 months ago
2008
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
EVOW
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
BMCBI
2006
13 years 7 months ago
2006
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
BMCBI
2010
13 years 7 months ago
2010
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
BMCBI
2010
13 years 7 months ago
2010
Background: In a time-course microarray experiment, the expression level for each gene is observed across a number of time-points in order to characterize the temporal trajectorie...