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Communication dans un congrès

Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data

Abstract :

 

Microarray represents a recent multidisciplinary technology. It measures the expression levels of several genes under different biological conditions, which allows to generate multiple data. These data can be analyzed through biclustering method to determinate groups of genes presenting a similar behavior under specific groups of conditions.

This paper proposes a new evolutionary algorithm based on a new crossover method, dedicated to the biclustering of gene expression data. This proposed crossover method ensures the creation of new biclusters with better quality. To evaluate its performance, an experimental study was done on real microarray datasets. These experimentations show that our algorithm extracts high quality biclusters with highly correlated genes that are particularly involved in specific ontology structure.

Type de document :
Communication dans un congrès
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https://hal.univ-angers.fr/hal-03256754
Contributeur : Okina Université d'Angers Connectez-vous pour contacter le contributeur
Soumis le : jeudi 10 juin 2021 - 14:16:49
Dernière modification le : vendredi 11 juin 2021 - 03:29:58

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Ons Maâtouk, Wassim Ayadi, Hend Bouziri, Béatrice Duval. Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data. 9th IAPR International Conference, 2014, Stockholm, Sweden. pp.48-59, ⟨10.1007/978-3-319-09192-1_5⟩. ⟨hal-03256754⟩

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