Motivation: Molecular profiles (DNA fingerprints) may be used to allocate an individual of unknown membership to one among the known groups of a reference population. Time and costs of profile assessment may be reduced by identifying informative profile components (markers). Results: A genetic algorithm (GA) is proposed to identify promising candidate markers from a pilot experiment in which observations are supposed to be without measurement error. The analysis of simulated datasets suggests reasonable values for GA parameters and confirms that the GA finds components of the profile showing association with the considered groups. Our GA may be used to perform a first screening of candidate markers to be included in subsequent experiments.

The reduction of large molecular profile to informative components using a Genetic Algorithm / F.M. Stefanini, A. Camussi. - In: BIOINFORMATICS. - ISSN 1367-4803. - 16:10(2000), pp. 923-931.

The reduction of large molecular profile to informative components using a Genetic Algorithm

F.M. Stefanini
Primo
;
2000

Abstract

Motivation: Molecular profiles (DNA fingerprints) may be used to allocate an individual of unknown membership to one among the known groups of a reference population. Time and costs of profile assessment may be reduced by identifying informative profile components (markers). Results: A genetic algorithm (GA) is proposed to identify promising candidate markers from a pilot experiment in which observations are supposed to be without measurement error. The analysis of simulated datasets suggests reasonable values for GA parameters and confirms that the GA finds components of the profile showing association with the considered groups. Our GA may be used to perform a first screening of candidate markers to be included in subsequent experiments.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/849446
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