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» Analysis of Variance for Gene Expression Microarray Data
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BMCBI
2005
122views more  BMCBI 2005»
15 years 1 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
ISMB
2000
15 years 2 months ago
Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
We have developed a set of methods and tools for automatic discovery of putative regulatory signals in genome sequences. The analysis pipeline consists of gene expression data clu...
Jaak Vilo, Alvis Brazma, Inge Jonassen, Alan J. Ro...
BMCBI
2007
198views more  BMCBI 2007»
15 years 1 months ago
Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
Nicola Neretti, Daniel Remondini, Marc Tatar, John...
TCBB
2011
14 years 8 months ago
Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays
— Probe defects are a major source of noise in gene expression studies. While existing approaches detect noisy probes based on external information such as genomic alignments, we...
Leo Lahti, Laura Elo, Tero Aittokallio, Samuel Kas...
BMCBI
2004
98views more  BMCBI 2004»
15 years 1 months ago
Incidence of "quasi-ditags" in catalogs generated by Serial Analysis of Gene Expression (SAGE)
Background: Serial Analysis of Gene Expression (SAGE) is a functional genomic technique that quantitatively analyzes the cellular transcriptome. The analysis of SAGE libraries rel...
Sergey V. Anisimov, Alexei A. Sharov