Abstract
Understanding the genetic underpinnings of common heritable human traits has enormous public health benefits with implications for risk prediction, development of novel drugs, and personalized medicine. Many complex human traits are highly heritable, yet little of the variability in such traits can be accounted for by examining single DNA variants at a time. Seldom explored non-additive gene-gene interactions are thought to be one source of this "missing" heritability. Approaches that can account for this complexity are more aptly suited to find combinations of genetic and environmental exposures that can lead to disease. Stochastic methods employing evolutionary algorithms have demonstrated promise in being able to detect and model gene-gene interactions that influence human traits, yet the search space is nearly infinite because of the vast number of variables collected in contemporary human genetics studies. In this work we assess the performance and feasibility of sensible initialization of an evolutionary algorithm using domain knowledge.
| Original language | English (US) |
|---|---|
| Title of host publication | Parallel Problem Solving from Nature, PPSN XI - 11th International Conference, Proceedings |
| Pages | 394-403 |
| Number of pages | 10 |
| Edition | PART 1 |
| DOIs | |
| State | Published - Nov 12 2010 |
| Event | 11th International Conference on Parallel Problem Solving from Nature, PPSN 2010 - Krakow, Poland Duration: Sep 11 2010 → Sep 15 2010 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 6238 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 11th International Conference on Parallel Problem Solving from Nature, PPSN 2010 |
|---|---|
| Country/Territory | Poland |
| City | Krakow |
| Period | 9/11/10 → 9/15/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science
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