illustrate specific studies that starting from the description of the Microarray Technology apply game theoretical tools able to … improve the analysis of genes’ expression data. Indeed DNA Microarray technology has become a useful technique to develop new …

A DNA microarray can measure the expression of thousands of genes simultaneously, and this enables us to study the … selection algorithms to the AMD microarray dataset. In this paper four methods are utilized to perform feature selection: Naïve …

A significant amount of microarray gene expression data is available on the Internet, and researchers are allowed to … analyze such data freely. However, microarray data includes thousands of genes, and analysis using conventional techniques is … microarray data on Alzheimer's disease and conducted an experiment to rank genes. The authors' results indicated some genes that …

This paper presents the pattern classification of the binary microarray gene expression based medical data using … (SVMPoly) are used to classify microarray medical datasets. Further to reduce the high dimensionality of Microarray medical …

Microarray studies and gene expression analysis have received significant attention over the last few years and provide …

Multiple testing analysis, based on clustering methodologies, is usually applied in Microarray Data Analysis for … than two groups obtained from microarray expressions of genes. Assuming normal data, we define a statistic which depends on … Bayesian approach, and the model is applied in a multiple comparison problem from a microarray experiment obtained from gorilla …

-parameters. Simulated examples and an application to an Illumina bead microarray study are presented to illustrate the viability of the …