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  • Search: subject:"Gene expression analysis"
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Year of publication
Subject
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Gene expression analysis 2 Shapley value 2 Ant Colony Optimisation 1 Classification problem 1 Cooperative 1 Cooperative games 1 Evolutionary games 1 Gene Expression Analysis 1 Infection modelling 1 Interaction index 1 Medical Data Analysis 1 Microarray Study 1 Pattern Classification 1 empirical Bayesian 1 game 1 gene expression analysis 1 microarray 1
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Online availability
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Undetermined 2
Type of publication
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Article 2 Book / Working Paper 2
Language
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Undetermined 3 English 1
Author
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Moretti, Stefano 2 Feingold, Eleanor 1 Fragnelli, Vito 1 Lin, Yan 1 Reynolds, Paul 1 Schaefer, Gerald 1 Vasilakos, Athanasios 1
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Institution
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Université Paris-Dauphine (Paris IX) 2
Published in...
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Economics Papers from University Paris Dauphine 2 International Journal of Rough Sets and Data Analysis (IJRSDA) 1 Statistical Applications in Genetics and Molecular Biology 1
Source
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RePEc 3 Other ZBW resources 1
Showing 1 - 4 of 4
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Gene Expression Analysis based on Ant Colony Optimisation Classification
Schaefer, Gerald - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 3, pp. 51-59
Microarray studies and gene expression analysis have received significant attention over the last few years and provide …
Persistent link: https://www.econbiz.de/10012047360
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An overview of recent applications of Game Theory to bioinformatics
Vasilakos, Athanasios; Moretti, Stefano - Université Paris-Dauphine (Paris IX) - 2010
The goal of this work is to provide a comprehensive review of different Game Theory applications that have been recently used to predict the behavior of non-rational agents in interaction situations arising from computational biology. In the first part of the paper, we focus on evolutionary...
Persistent link: https://www.econbiz.de/10010708164
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A game theoretical approach to the classification problem next term in previous term gene expression data analysis
Fragnelli, Vito; Moretti, Stefano - Université Paris-Dauphine (Paris IX) - 2008
Microarray technology allows for the evaluation of the level of previous termexpressionnext term of thousands of previous termgenesnext term in previous termanext term sample of cells under previous termanext term given condition. In this paper, we introduce previous termanext term methodology...
Persistent link: https://www.econbiz.de/10010706709
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An Empirical Bayesian Method for Differential Expression Studies Using One-Channel Microarray Data
Lin, Yan; Reynolds, Paul; Feingold, Eleanor - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 8-8
Gene expression microarrays have become powerful tools in many areas of biological and biomedical research. These technologies allow researchers to measure the expression levels of thousands of genes in a tissue or cell sample simultaneously. One of the most common types of microarray...
Persistent link: https://www.econbiz.de/10005246463
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