Abstract
The correspondence between a graph and a genealogy is used to apply techniques from the field of graph theory to genetic epidemiology. A method is described for discarding the individuals and marriages which contribute to the size but not to the complexity of a genealogy. The 'max-flow min-cut' algorithm is extended to break large genealogies into two smaller, less complicated components. These techniques are illustrated using both artificial and real pedigrees.
| Original language | English |
|---|---|
| Pages (from-to) | 145-159 |
| Number of pages | 15 |
| Journal | Mathematical Medicine and Biology |
| Volume | 9 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1992 |
| Externally published | Yes |
Keywords
- Cutset
- Genealogy
- Graph
- Max-flow
- Min-flow
- Network
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