Graphical models for genetic analyses

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Standard

Graphical models for genetic analyses. / Lauritzen, Steffen L.; Sheehan, NA.

I: Statistical Science, Bind 18, Nr. 4, 2003, s. 489-514.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Lauritzen, SL & Sheehan, NA 2003, 'Graphical models for genetic analyses', Statistical Science, bind 18, nr. 4, s. 489-514.

APA

Lauritzen, S. L., & Sheehan, NA. (2003). Graphical models for genetic analyses. Statistical Science, 18(4), 489-514.

Vancouver

Lauritzen SL, Sheehan NA. Graphical models for genetic analyses. Statistical Science. 2003;18(4):489-514.

Author

Lauritzen, Steffen L. ; Sheehan, NA. / Graphical models for genetic analyses. I: Statistical Science. 2003 ; Bind 18, Nr. 4. s. 489-514.

Bibtex

@article{1b0e028675d44a2c8650ed85fc9e9458,
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",
volume = "18",
pages = "489--514",
journal = "Statistical Science",
issn = "0883-4237",
publisher = "Institute of Mathematical Statistics",
number = "4",

}

RIS

TY - JOUR

T1 - Graphical models for genetic analyses

AU - Lauritzen, Steffen L.

AU - Sheehan, NA

PY - 2003

Y1 - 2003

N2 - 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.

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

VL - 18

SP - 489

EP - 514

JO - Statistical Science

JF - Statistical Science

SN - 0883-4237

IS - 4

ER -

ID: 127877691