PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A PROTOTYPE DECISION SUPPORT SYSTEM FOR GMO TRACEABILITY
Petra Kralj, Nada Lavrac, Kristina Gruden, Ana Rotter, Dejan Stebih, Dany Morisset and Jana Zel
In: IS 2007, 8-12 October 2007, Ljubljana, Slovenia.

Abstract

The problem of traceability of genetically modified organisms (GMOs) addresses the detection, identification and quantification of GMOs in food, feed and seed samples. Due to a large number of GMOs in the market, a system for reliable and affordable traceability of GMOs, optimizing the price of testing for a given sample, has to be established. We have defined the input to the future decision support system for assay selection to be of a tabular form, with rows corresponding to GMOs, and columns corresponding to assays they react to. In this paper we present a prototype decision support system for GMO detection and identification.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:3756
Deposited By:Dunja Mladenić
Deposited On:16 February 2008

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