Game Theory applied to gene expression analysis
Moretti, Stefano (2009), Game Theory applied to gene expression analysis, 4OR, 7, 2, p. 195-198. http://dx.doi.org/10.1007/s10288-008-0073-9
TypeArticle accepté pour publication ou publié
MetadataShow full item record
Abstract (EN)This is a summary of the author’s Ph.D. thesis supervised by Fioravante Patrone and Stefano Bonassi and defended on 25 May 2006 at the Università degli Studi di Genova. The thesis in written in English and a copy is available from the author upon request. This work deals with the discussion and the application of a methodology based on Game Theory for the analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions. Within a single experiment of this sophisticated technology, the level of expression of thousands of genes can be estimated in a sample of cells under given conditions. Roughly speaking, the starting point is the observation of a “picture” of gene expressions in a sample of cells under a biological condition of interest, for example a tumor. Then, Game Theory plays a primary role to quantitatively evaluate the relevance of each gene in regulating or provoking the condition of interest, taking into account the observed relationships in all subgroups of genes.
Subjects / KeywordsCoalitional game; Shapley value; Power index; Gene expression; Microarray
Showing items related by title and author.
Identification of low intratumoral gene expression heterogeneity in neuroblastic tumors by genome-wide expression analysis and game theory Tonini, Gian Paolo; Bonassi, Stefano; Stigliani, Sara; Cavazzana, Andrea; Di Cristofano, Claudio; Truini, Mauro; Coco, Simona; Moretti, Stefano; Scaruffi, Paola; Albino, Domenico (2008) Article accepté pour publication ou publié
A game theoretical approach to the classification problem next term in previous term gene expression data analysis Fragnelli, Vito; Moretti, Stefano (2008) Article accepté pour publication ou publié
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution Merlo, Domenico Franco; Gmuender, Hans; van Leeuwen, Danitsja; Patrone, Fioravante; Kleinjans, Jos; van Delft, Joost; Bonassi, Stefano; Moretti, Stefano (2008) Article accepté pour publication ou publié
Genome analysis and gene expression profiling of neuroblastoma and ganglioneuroblastoma reveal differences between neuroblastic and Schwannian stromal cells Cavazzana, Andrea; Di Cristofano, Claudio; Perri, Patrizia; Gambini, Claudio; Longo, Luca; Mazzocco, Katia; Moretti, Stefano; Bonassi, Stefano; Tonini, Gian Paolo; Coco, Simona; Defferrari, Raffaella; Scaruffi, Paola (2005) Article accepté pour publication ou publié