Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution

Stefano Moretti, Danitsja van Leeuwen, Hans Gmuender, Stefano Bonassi, Joost van Delft, Jos Kleinjans, Fioravante Patrone, Domenico Merlo
2008 BMC Bioinformatics  
In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. However, the interpretation of each single p-value within complex systems involving several interacting genes is problematic. In parallel, in the last sixty years, game theory has been applied to political and social problems to assess the power of interacting agents in forcing a decision and, more recently, to represent the relevance of genes in response to certain conditions.
doi:10.1186/1471-2105-9-361 pmid:18764936 pmcid:PMC2556684 fatcat:eqf3itkbybapzcawwnl3pvnage