Probabilistic modelling for DNA mixture analysis

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Probabilistic modelling for DNA mixture analysis. / Cowell, R. G.; Lauritzen, S. L.; Mortera, J.

In: Forensic Science International: Genetics Supplement Series, Vol. 1, No. 1, 01.08.2008, p. 640-642.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Cowell, RG, Lauritzen, SL & Mortera, J 2008, 'Probabilistic modelling for DNA mixture analysis', Forensic Science International: Genetics Supplement Series, vol. 1, no. 1, pp. 640-642. https://doi.org/10.1016/j.fsigss.2007.10.087

APA

Cowell, R. G., Lauritzen, S. L., & Mortera, J. (2008). Probabilistic modelling for DNA mixture analysis. Forensic Science International: Genetics Supplement Series, 1(1), 640-642. https://doi.org/10.1016/j.fsigss.2007.10.087

Vancouver

Cowell RG, Lauritzen SL, Mortera J. Probabilistic modelling for DNA mixture analysis. Forensic Science International: Genetics Supplement Series. 2008 Aug 1;1(1):640-642. https://doi.org/10.1016/j.fsigss.2007.10.087

Author

Cowell, R. G. ; Lauritzen, S. L. ; Mortera, J. / Probabilistic modelling for DNA mixture analysis. In: Forensic Science International: Genetics Supplement Series. 2008 ; Vol. 1, No. 1. pp. 640-642.

Bibtex

@article{c596f7b0784c41f4b36615c97ec3e68a,
title = "Probabilistic modelling for DNA mixture analysis",
abstract = "Taking peak area information into account when analysing STR DNA mixtures is acknowledged to be a difficult task. There have been a number of non-probabilistic approaches proposed in the literature, and some have been incorporated into computer systems, but comparatively little has been published from a probabilistic perspective. Here we briefly review our previous work on using Bayesian networks to analyse two-person mixtures within a probabilistic framework, and present preliminary results obtained for analysing two-person and three-person mixtures that combine peak area information from multiple independent samples.",
keywords = "Bayesian networks, DNA mixtures, Multiple contributors, Multiple traces",
author = "Cowell, {R. G.} and Lauritzen, {S. L.} and J. Mortera",
year = "2008",
month = aug,
day = "1",
doi = "10.1016/j.fsigss.2007.10.087",
language = "English",
volume = "1",
pages = "640--642",
journal = "Forensic Science International: Genetics. Supplement Series",
issn = "1875-1768",
publisher = "Elsevier Ireland Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Probabilistic modelling for DNA mixture analysis

AU - Cowell, R. G.

AU - Lauritzen, S. L.

AU - Mortera, J.

PY - 2008/8/1

Y1 - 2008/8/1

N2 - Taking peak area information into account when analysing STR DNA mixtures is acknowledged to be a difficult task. There have been a number of non-probabilistic approaches proposed in the literature, and some have been incorporated into computer systems, but comparatively little has been published from a probabilistic perspective. Here we briefly review our previous work on using Bayesian networks to analyse two-person mixtures within a probabilistic framework, and present preliminary results obtained for analysing two-person and three-person mixtures that combine peak area information from multiple independent samples.

AB - Taking peak area information into account when analysing STR DNA mixtures is acknowledged to be a difficult task. There have been a number of non-probabilistic approaches proposed in the literature, and some have been incorporated into computer systems, but comparatively little has been published from a probabilistic perspective. Here we briefly review our previous work on using Bayesian networks to analyse two-person mixtures within a probabilistic framework, and present preliminary results obtained for analysing two-person and three-person mixtures that combine peak area information from multiple independent samples.

KW - Bayesian networks

KW - DNA mixtures

KW - Multiple contributors

KW - Multiple traces

UR - http://www.scopus.com/inward/record.url?scp=50349100232&partnerID=8YFLogxK

U2 - 10.1016/j.fsigss.2007.10.087

DO - 10.1016/j.fsigss.2007.10.087

M3 - Journal article

AN - SCOPUS:50349100232

VL - 1

SP - 640

EP - 642

JO - Forensic Science International: Genetics. Supplement Series

JF - Forensic Science International: Genetics. Supplement Series

SN - 1875-1768

IS - 1

ER -

ID: 218403196