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Graphical models for genetic analyses

Abstract:
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.
Publication status:
Published

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Publisher copy:
10.1214/ss/1081443232

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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Role:
Author
Journal:
STATISTICAL SCIENCE
Volume:
18
Issue:
4
Pages:
489-514
Publication date:
2003-11-05
DOI:
ISSN:
0883-4237
URN:
uuid:0b864920-406e-4173-b6bd-764ada102e71
Source identifiers:
97557
Local pid:
pubs:97557

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