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Discovering α–patterns from gene expression data
dc.creator | Rodríguez Baena, Domingo S. | es |
dc.creator | Díaz Díaz, Norberto | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | Nepomuceno Chamorro, Isabel de los Ángeles | es |
dc.date.accessioned | 2022-07-21T10:50:36Z | |
dc.date.available | 2022-07-21T10:50:36Z | |
dc.date.issued | 2007 | |
dc.identifier.isbn | 978-3-540-77225-5 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/135689 | |
dc.description.abstract | The biclustering techniques have the purpose of finding subsets of genes that show similar activity patterns under a subset of conditions. In this paper we characterize a specific type of pattern, that we have called α–pattern, and present an approach that consists in a new biclustering algorithm specifically designed to find α–patterns, in which the gene expression values evolve across the experimental conditions showing a similar behavior inside a band that ranges from 0 up to a pre–defined threshold called α. The α value guarantees the co– expression among genes. We have tested our method on the Yeast dataset and compared the results to the biclustering algorithms of Cheng & Church (2000) and Aguilar & Divina (2005). Results show that the algorithm finds interesting biclusters, grouping genes with similar behaviors and maintaining a very low mean squared residue. | es |
dc.format | application/pdf | es |
dc.format.extent | 9 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Discovering α–patterns from gene expression data | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-540-77226-2_83 | es |
dc.identifier.doi | 10.1007/978-3-540-77226-2_83 | es |
dc.contributor.group | Universidad de Sevilla. TIC134: Sistemas Informáticos | es |
dc.publication.initialPage | 831 | es |
dc.publication.endPage | 839 | es |
dc.eventtitle | IDEAL 2007: 8th International Conference on Intelligent Data Engineering and Automated Learning | es |
dc.eventinstitution | Birmingham, UK | es |
dc.relation.publicationplace | Berlin, Germany | es |
dc.identifier.sisius | 6548190 | es |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Discovering α–Patterns from Gene ... | 412.3Kb | [PDF] | Ver/ | |