dc.creator | Nepomuceno Chamorro, Juan Antonio | es |
dc.creator | Troncoso Lora, Alicia | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | García Gutiérrez, Jorge | es |
dc.date.accessioned | 2022-05-26T09:47:02Z | |
dc.date.available | 2022-05-26T09:47:02Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Nepomuceno Chamorro, J.A., Troncoso Lora, A., Aguilar Ruiz, J.S. y García Gutiérrez, J. (2007). Biclusters Evaluation Based on Shifting and Scaling Patterns. En IDEAL 2007: 8th International Conference on Intelligent Data Engineering and Automated Learning (840-849), Birmingham, UK: Springer. | |
dc.identifier.isbn | 978-3-540-77225-5 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/133686 | |
dc.description.abstract | Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological point of view.
Biclustering algorithms obtain a set of genes with the same behaviour
over a group of experimental conditions from gene expression data. In
order to evaluate the quality of a bicluster, it is useful to identify specific
tendencies represented by patterns on data. These patterns describe the
behaviour of a bicluster obtained previously by an adequate bicluster ing technique from gene expression data. In this paper a new measure
for evaluating biclusters is proposed. This measure captures a special
kind of patterns with scaling trends which represents quality patterns.
They are not contemplated with the previous evaluating measure ac cepted in the literature. This work is a first step to investigate methods
that search biclusters based on the concept of shift and scale invariance.
Experimental results based on the yeast cell cycle and the human B-cell
lymphoma datasets are reported. Finally, the performance of the pro posed technique is compared with an optimization method based on the
Nelder-Mead Simplex search algorithm. | es |
dc.description.sponsorship | Comisión Interministerial de Ciencia y Tecnología (CICYT) TIC2004-00159 | es |
dc.description.sponsorship | Junta de Andalucía P05-TIC-00531 | es |
dc.format | application/pdf | es |
dc.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | IDEAL 2007: 8th International Conference on Intelligent Data Engineering and Automated Learning (2007), pp. 840-849. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Gene Expression Data | es |
dc.subject | Biclustering | es |
dc.subject | Shifting and scaling patterns | es |
dc.subject | Unconstrained optimization | es |
dc.title | Biclusters Evaluation Based on Shifting and Scaling Patterns | 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.projectID | TIC2004-00159 | es |
dc.relation.projectID | P05-TIC-00531 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-540-77226-2_84 | es |
dc.identifier.doi | 10.1007/978-3-540-77226-2_84 | es |
dc.publication.initialPage | 840 | es |
dc.publication.endPage | 849 | 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.contributor.funder | Comisión Interministerial de Ciencia y Tecnología (CICYT). España | es |
dc.contributor.funder | Junta de Andalucía | es |