Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution |
| |
| Authors: | Stefano Moretti Danitsja van Leeuwen Hans Gmuender Stefano Bonassi Joost van Delft Jos Kleinjans Fioravante Patrone Domenico Franco Merlo |
| |
| Institution: | (1) Epidemiology and Biostatistics, National Cancer Research Institute, Genova, Italy;(2) Department of Health Risk and Toxicology, Maastricht University, Maastricht, the Netherlands;(3) Genedata AG, Basel, Switzerland;(4) Unit of Molecular Epidemiology, National Cancer Research Institute, Genova, Italy;(5) DIPTEM, University of Genova, Genova, Italy |
| |
| Abstract: | Background 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. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
