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Graphical models for genetic analyses

delete2003-11-01
delete104
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OA
AI
S
Steffen L. Lauritzen
N
Nuala A. Sheehan
DOI:10.1214/ss/1081443232delete
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摘要

摘要

En 中文
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.
Keyword:
Bayesian network
forensic genetics
linkage analysis
local computation
peeling
probability propagation
QTL analysis
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Statistical Science 封面图
Statistical Science
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3.4
论文数:
1.0K
被引数:
8.7K

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