Abstract | ||
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Population stratification is a problem encountered in several areas of natural science, engineering, and public health. We tackle this problem by mapping a population and its element attributes onto a hypergraph, a natural extension of the concept of graph or network to encode associations among any number of elements. On this hypergraph, we construct a statistical model reflecting our intuition about how the element attributes can emerge from a postulated population structure. Finally, we introduce the concept of stratification representativeness as a mean to identify the simplest stratification already containing most of the information about the population structure. We demonstrate the power of this framework stratifying an animal and a human population based on phenotypic and genotypic properties, respectively. |
Year | DOI | Venue |
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2007 | 10.1103/PhysRevE.77.066106 | PHYSICAL REVIEW E |
Keywords | DocType | Volume |
public health,stratification,natural science,population stratification,statistical model | Journal | 77 |
Issue | ISSN | Citations |
6 | 1539-3755 | 8 |
PageRank | References | Authors |
1.91 | 0 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexei Vazquez | 1 | 55 | 9.84 |