Graphical models for genetic analyses

Steffen L. Lauritzen; NA Sheehan

Graphical models for genetic analyses

96 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Statistical Science
Vol/bind	18
Udgave nummer	4
Sider (fra-til)	489-514
Antal sider	26
ISSN	0883-4237
Status	Udgivet - 2003
Udgivet eksternt	Ja

Citationsformater

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title = "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.",

author = "Lauritzen, {Steffen L.} and NA Sheehan",

year = "2003",

language = "English",

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T1 - Graphical models for genetic analyses

AU - Lauritzen, Steffen L.

AU - Sheehan, NA

PY - 2003

Y1 - 2003

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AB - 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.

M3 - Journal article

SN - 0883-4237

VL - 18

SP - 489

EP - 514

JO - Statistical Science

JF - Statistical Science

IS - 4

ER -