Microarray Data Analysis: Methods and Applications by Pietro Hiram Guzzi

Microarray Data Analysis: Methods and Applications



Download Microarray Data Analysis: Methods and Applications

Microarray Data Analysis: Methods and Applications Pietro Hiram Guzzi ebook
ISBN: 9781493931729
Publisher: Springer New York
Page: 200
Format: pdf


Using discriminant vector quantization with applications to microarray data analysis. Supervised group Lasso with applications to microarray data analysis In the first step, we identify important genes within each cluster using the Lasso method. Alter, in Microarray Data Analysis: Methods and Applications (Humana Press, 2007), pp. Ratio statistics of gene expression levels and applications to microarray data analysis. Bookstore: Microarray Data Analysis: Methods and Applications : 1588295400 : Korenberg, Michael J. Transduction Analysis of Microarray Data. Mathematical frameworks for the description of the data, in which the . These methods can generally be characterized as using a regression function to an integrated framework for the analysis of microarray data is obtained. : Medical Books : Medicine : Genetics. The proposed SGLasso assumes that the cluster structure has been well defined. DNA microarrays: experimental issues, data analysis, and application to bacterial systems.





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