Gene filtering with optimal threshold selection

Autor: Bau i Macià, Josep, Solé-Casals, Jordi, Caiafa, Cesar F., Lew, Sergio
Přispěvatelé: Universitat de Vic. Escola Politècnica Superior, Universitat de Vic. Grup de Recerca en Tecnologies Digitals, International Conference on Advances in Statistics (2012: Barcelona)
Rok vydání: 2012
Předmět:
Zdroj: RIUVic. Repositorio Institucional de la Universidad de Vic
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Recercat. Dipósit de la Recerca de Catalunya
Popis: Gene filtering is a useful preprocessing technique often applied to microarray datasets. However, it is no common practice because clear guidelines are lacking and it bears the risk of excluding some potentially relevant genes. In this work, we propose to model microarray data as a mixture of two Gaussian distributions that will allow us to obtain an optimal filter threshold in terms of the gene expression level.
Databáze: OpenAIRE