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» Analysis techniques for microarray time-series data
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BMCBI
2007
198views more  BMCBI 2007»
13 years 8 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...
CGF
2008
142views more  CGF 2008»
13 years 8 months ago
Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...
IEAAIE
2009
Springer
14 years 3 months ago
Robust Singular Spectrum Transform
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Yasser F. O. Mohammad, Toyoaki Nishida
INFOVIS
2005
IEEE
14 years 2 months ago
Baby Names, Visualization, and Social Data Analysis
The NameVoyager, a web-based visualization of historical trends in baby naming, has proven remarkably popular. This paper discusses the display techniques used for smooth visual e...
Martin Wattenberg
EVOW
2004
Springer
14 years 2 months ago
Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
Carlos Cotta, Christian Sloper, Pablo Moscato