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Mendeley readers
| Title |
Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
|
|---|---|
| Published in |
BMC Bioinformatics, September 2008
|
| DOI | 10.1186/1471-2105-9-361 |
| Pubmed ID | |
| Authors |
Stefano Moretti, Danitsja van Leeuwen, Hans Gmuender, Stefano Bonassi, Joost van Delft, Jos Kleinjans, Fioravante Patrone, Domenico Franco Merlo |
| Abstract |
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. |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 38 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Researcher | 8 | 19% |
| Student > Master | 6 | 14% |
| Professor | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 26% |
| Computer Science | 8 | 19% |
| Mathematics | 5 | 12% |
| Neuroscience | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 6 | 14% |