MAIES: A tool for DNA mixture analysis

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

MAIES : A tool for DNA mixture analysis. / Cowell, Robert; Lauritzen, Steffen; Mortera, Julia.

Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06): July 13- 16 2006, Cambridge, MA, USA. red. / Rina Dechter; Thomas S. Richardson. AUAI Press, 2006. s. 90-97.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Cowell, R, Lauritzen, S & Mortera, J 2006, MAIES: A tool for DNA mixture analysis. i R Dechter & TS Richardson (red), Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06): July 13- 16 2006, Cambridge, MA, USA. AUAI Press, s. 90-97.

APA

Cowell, R., Lauritzen, S., & Mortera, J. (2006). MAIES: A tool for DNA mixture analysis. I R. Dechter, & T. S. Richardson (red.), Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06): July 13- 16 2006, Cambridge, MA, USA (s. 90-97). AUAI Press.

Vancouver

Cowell R, Lauritzen S, Mortera J. MAIES: A tool for DNA mixture analysis. I Dechter R, Richardson TS, red., Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06): July 13- 16 2006, Cambridge, MA, USA. AUAI Press. 2006. s. 90-97

Author

Cowell, Robert ; Lauritzen, Steffen ; Mortera, Julia. / MAIES : A tool for DNA mixture analysis. Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06): July 13- 16 2006, Cambridge, MA, USA. red. / Rina Dechter ; Thomas S. Richardson. AUAI Press, 2006. s. 90-97

Bibtex

@inproceedings{43c9655bdc4c4f51b6dd743df0b163fe,
title = "MAIES: A tool for DNA mixture analysis",
abstract = "We describe an expert system, Maies, un- der development for analysing forensic iden- tification problems involving DNA mixture traces using quantitative peak area infor- mation. Peak area information is repre- sented by conditional Gaussian distributions, and inference based on exact junction tree propagation ascertains whether individuals, whose profiles have been measured, have con- tributed to the mixture. The system can also be used to predict DNA profiles of unknown contributors by separating the mixture into its individual components. The use of the system is illustrated with an application to a real world example. The system implements a novel MAP (maximum a posteriori) search algorithm that is briefly described.",
author = "Robert Cowell and Steffen Lauritzen and Julia Mortera",
year = "2006",
language = "English",
isbn = "0-9749039-2-2",
pages = "90--97",
editor = "Rina Dechter and Richardson, {Thomas S.}",
booktitle = "Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06)",
publisher = "AUAI Press",

}

RIS

TY - GEN

T1 - MAIES

T2 - A tool for DNA mixture analysis

AU - Cowell, Robert

AU - Lauritzen, Steffen

AU - Mortera, Julia

PY - 2006

Y1 - 2006

N2 - We describe an expert system, Maies, un- der development for analysing forensic iden- tification problems involving DNA mixture traces using quantitative peak area infor- mation. Peak area information is repre- sented by conditional Gaussian distributions, and inference based on exact junction tree propagation ascertains whether individuals, whose profiles have been measured, have con- tributed to the mixture. The system can also be used to predict DNA profiles of unknown contributors by separating the mixture into its individual components. The use of the system is illustrated with an application to a real world example. The system implements a novel MAP (maximum a posteriori) search algorithm that is briefly described.

AB - We describe an expert system, Maies, un- der development for analysing forensic iden- tification problems involving DNA mixture traces using quantitative peak area infor- mation. Peak area information is repre- sented by conditional Gaussian distributions, and inference based on exact junction tree propagation ascertains whether individuals, whose profiles have been measured, have con- tributed to the mixture. The system can also be used to predict DNA profiles of unknown contributors by separating the mixture into its individual components. The use of the system is illustrated with an application to a real world example. The system implements a novel MAP (maximum a posteriori) search algorithm that is briefly described.

M3 - Article in proceedings

SN - 0-9749039-2-2

SP - 90

EP - 97

BT - Proceedings of the Twenty-Second Conference Conference on Uncertainty in Artificial Intelligence (UAI-06)

A2 - Dechter, Rina

A2 - Richardson, Thomas S.

PB - AUAI Press

ER -

ID: 127868720