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» Gene Classification using Expression Profiles: A Feasibility...
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CSDA
2006
81views more  CSDA 2006»
13 years 6 months ago
Flexible temporal expression profile modelling using the Gaussian process
Time course gene expression experiments have proved valuable in a variety of biological studies [e.g., Chuang, Y., Chen, Y., Gadisetti, V., et al., 2002. Gene expression after tre...
Ming Yuan
BMCBI
2005
103views more  BMCBI 2005»
13 years 6 months ago
Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
Hua Liu, Sergey Tarima, Aaron S. Borders, Thomas V...
BMCBI
2008
190views more  BMCBI 2008»
13 years 6 months ago
Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes
Background: Gene expression data frequently contain missing values, however, most downstream analyses for microarray experiments require complete data. In the literature many meth...
Guy N. Brock, John R. Shaffer, Richard E. Blakesle...
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 3 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...