Detection of gene expressions in microarrays by applying iteratively elastic neural net

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Detection of gene expressions in microarrays by applying iteratively elastic neural net

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dc.date 2007
dc.date.accessioned 2012-02-25T00:35:51Z
dc.date.available 2012-02-25T00:35:51Z
dc.date.issued 2012-02-24
dc.identifier.citation Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pte.2, 355-363, 2007
dc.identifier.uri https://hdl.handle.net/10925/716
dc.description.abstract DNA 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 Gorban's Elastic Neural Net in an iterative way to find patterns of expressed genes. The new method proposed (Iterative Elastic Neural Net, IENN) has been evaluated with up-regulated genes of the Escherichia Coli bacterium and is compared with the SelfOrganizing Maps (SOM) technique frequently used in this kind of analysis. The results show that the proposed method finds 86.7% of the up-regulated genes, compared to 65.2% of genes found by the SOM. A comparative analysis of Receiver Operating Characteristic (ROC) with SOM shows that the proposed method is 11.5% more effective.
dc.format PDF
dc.language.iso en
dc.source Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subject Bioinformática
dc.subject ADN
dc.subject Redes neuronales
dc.title Detection of gene expressions in microarrays by applying iteratively elastic neural net
dc.type Artículo de Revista
uct.comunidad Ingeniería
uct.facultad Facultad de Ingeniería
uct.carrera Ingeniería Civil en Informática
uct.catalogador FGE
uct.indizacion ISI

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