Graphical models for genetic analyses. (English) Zbl 1055.62126
Summary: This paper introduces graphical models as a natural environment in which to formulate and solve problems in genetics and related areas. Particular emphasis is given to the relationships among various local computation algorithms which have been developed within the hitherto mostly separate areas of graphical models and genetics. The potential of graphical models is explored and illustrated through a number of example applications where the genetic element is substantial or dominating.
MSC:
| 62P10 | Applications of statistics to biology and medical sciences; meta analysis |
| 92D10 | Genetics and epigenetics |
| 05C90 | Applications of graph theory |
Keywords:
Bayesian network; forensic genetic; linkage analysis; local computation; peeling; probability propagation; QTL analysisReferences:
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