Elastic Nets for Detection of Up-Regulated Genes in Microarrays

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datacite.alternateIdentifier.citationENGINEERING APPLICATIONS OF NEURAL NETWORKS,Vol.311,183-192,2012
datacite.creatorLévano Huamaccto, Marcos
datacite.creatorMellado Gatica, Alejandro
datacite.creatorJayne, C
datacite.creatorYue, S
datacite.creatorIliadis, L
datacite.date2012
datacite.subject.englishElastic net
datacite.subject.englishmicroarrays
datacite.subject.englishup-regulated genes
datacite.subject.englishclusters
datacite.titleElastic Nets for Detection of Up-Regulated Genes in Microarrays
dc.date.accessioned2021-04-30T16:30:25Z
dc.date.available2021-04-30T16:30:25Z
dc.description.abstractDNA analysis by microarrays is a powerful tool that allows replication of the RNA of hundreds of thousands of genes at the same time, generating a large amount of data in multidimensional space that must be analyzed using informatics tools. Various clustering techniques have been applied to analyze the microarrays, but they do not offer a systematic form of analysis. This paper proposes the use of Zinovyev's Elastic Net in an iterative way to find patterns of up-regulated genes. The new method proposed has been evaluated with up-regulated genes of the Escherichia Coli k12 bacterium and is compared with the Self-Organizing Maps (SOM) technique frequently used in this kind of analysis. The results show that the proposed method finds 87% of the up-regulated genes, compared to 65% of genes found by the SOM. A comparative analysis of Receiver Operating Characteristic with SOM shows that the proposed method is 12% more effective.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/2714
dc.language.isoen
dc.publisherSPRINGER-VERLAG BERLIN
dc.sourceENGINEERING APPLICATIONS OF NEURAL NETWORKS
oaire.resourceTypeMeeting
uct.catalogadorWOS
uct.indizacionISTP
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