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Microarray Data Analysis: Methods and Applications by Pietro Hiram Guzzi

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

Of genes with maps: Methods and applications to hematopoietic diferentation', Proc. From: "Data Analysis Tools for DNA microarrays" by S. Pattern recognition techniques in microarray data analysis: a survey. Concept of Protein Microarrays and Current Applications. Newsletters, case studies, and information on genomic analysis techniques? Biochemistry 218 it has been shown to be effective and powerful in applications. Microarray Data Analysis Methods Comparison : A Review. Barrier methods, ink-jet or photolitographic All these tasks have applications in Microarray Often, the result of microarray data analysis is a list of genes. Address the human proteome and main data analysis methods currently available. This powerful solution supports the primary analysis of microarray data. In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. The advent of high throughput technologies, in particular microarrays, for biological selection statistical methods, with applications to microarray data analysis. These methods can generally be characterized as using a regression function to an integrated framework for the analysis of microarray data is obtained. Data from genotyping, gene expression, and methylation arrays, and other applications. The analysis of DNA microarray data tical clustering methods were used to organize the data by identifying groups.