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Game Theory applied to gene expression analysis

Moretti, Stefano - Université Paris-Dauphine (Paris IX) - 2009

analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions …

Persistent link: https://www.econbiz.de/10011166427

Game Theory applied to gene expression analysis.

Moretti, Stefano - Université Paris-Dauphine - 2009

analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions …

Persistent link: https://www.econbiz.de/10008799435

Qualitative assessment of cDNA microarray gene expression data using detrended fluctuation analysis

Nagarajan, Radhakrishnan; Upreti, Meenakshi; Govindan, R.B. - In: Physica A: Statistical Mechanics and its Applications 373 (2007) C, pp. 503-510

A number of microarray studies assume gene expression data to be independent of one another. In this report, we provide … evidence of correlation in cDNA microarray gene expression data using classical power spectral analysis and the sophisticated … assessment of microarray gene expression data prior to inferring differential gene expression. …

Persistent link: https://www.econbiz.de/10010591106

Testing unilateral versus bilateral normal contamination

Charnigo, Richard; Fan, Qian; Bittel, Douglas; Dai, Hongying - In: Statistics & Probability Letters 83 (2013) 1, pp. 163-167

This letter proposes modeling a large collection of test statistics, such as may arise in microarray data analysis …

Persistent link: https://www.econbiz.de/10010593929

The class of microarray games and the relevance index for genes

Moretti, Stefano; Patrone, Fioravante; Bonassi, Stefano - In: TOP: An Official Journal of the Spanish Society of … 15 (2007) 2, pp. 256-280

Persistent link: https://www.econbiz.de/10005598376

Modeling the Human Genome Maintenance network

Simão, Éder M.; Cabral, Heleno B.; Castro, Mauro A.A.; … - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 19, pp. 4188-4194

microarray study of adenoma to identify the regions of the network that are highly altered. In the last application we present …

Persistent link: https://www.econbiz.de/10011062311

Comparison of the empirical bayes and the significance analysis of microarrays

Schwender, Holger; Krause, Andreas; Ickstadt, Katja - Institut für Wirtschafts- und Sozialstatistik, … - 2003

Microarrays enable to measure the expression levels of tens of thousands of genes simultaneously. One important statistical question in such experiments is which of the several thousand genes are differentially expressed. Answering this question requires methods that can deal with multiple...

Persistent link: https://www.econbiz.de/10009295199

Using game theory to detect genes involved in Autism Spectrum Disorder

Esteban, Francisco; Wall, Dennis - In: TOP: An Official Journal of the Spanish Society of … 19 (2011) 1, pp. 121-129

Persistent link: https://www.econbiz.de/10009324626

Improving the graphical lasso estimation for the precision matrix through roots ot the sample convariance matrix

Avagyan, Vahe; Alonso, Andrés M.; Nogales, Francisco J. - Departamento de Estadistica, Universidad Carlos III de … - 2014

the graphical lasso framework (glasso) that is able to attain better statistical performance without sacrificing too much …

Persistent link: https://www.econbiz.de/10010861866

Identification of breast cancer prognosis markers via integrative analysis

Ma, Shuangge; Dai, Ying; Huang, Jian; Xie, Yang - In: Computational Statistics & Data Analysis 56 (2012) 9, pp. 2718-2728

In breast cancer research, it is of great interest to identify genomic markers associated with prognosis. Multiple gene profiling studies have been conducted for such a purpose. Genomic markers identified from the analysis of single datasets often do not have satisfactory reproducibility. Among...

Persistent link: https://www.econbiz.de/10010871455